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8,537 results for “Openness”
TIdeS: a comprehensive framework for accurate open reading frame identification and classification in eukaryotic transcriptomes
<p>Includes:</p> <ul> <li>ORF predictions for 28 diverse eukaryotic taxa, employing common tools/approaches</li> <li>Raw transcriptome assemblies used for ORF predictions</li> <li>Phylogenetic trees used as the basis for contamination identification, as well as validating TIdeS's efficacy</li> <li>Various TIdeS outputs (ORF prediction/classification)</li> <li>Copy of current TIdeS source code</li> </ul>
Image distortion data from "An open-source MRI compatible frame for multimodal presurgical mapping in macaque and capuchin monkeys"
Open the record for dataset details and reuse information.
Open-cup nesters in the Kalahari: incubation and egg-shading behaviour in passerines cannot be detected with temperature dataloggers during hot periods.
<p>The dataset includes the raw data and R scripts necessary to reproduce the analyses and figures explained in the manuscript "<span>Open-cup nesters in the Kalahari: incubation and egg-shading behaviour in passerines cannot be detected with temperature dataloggers during hot periods</span>"<strong>.</strong></p> <p>This dataset includes:</p> <p>- README.docx: Complete explanation of the different raw data used for the statistical analyses, together with the link to the R script where data is analyzed. We recommend to read this document before diving into the data and scripts.</p> <p>- Project data & code: Two separate folders for raw data and code.</p> <p> </p>
Aesculus pavia (Hippocastanaceae) - fruit - section or open
Image of Aesculus pavia (Hippocastanaceae) - fruit - section or open
Passiflora incarnata (Passifloraceae) - fruit - section or open
Image of Passiflora incarnata (Passifloraceae) - fruit - section or open
Liquidambar styraciflua (Hamamelidaceae) - fruit - section or open
Image of Liquidambar styraciflua (Hamamelidaceae) - fruit - section or open
Datura stramonium var. stramonium (Solanaceae) - fruit - section or open
Image of Datura stramonium var. stramonium (Solanaceae) - fruit - section or open
Open Data Set for the article Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 2024, 6 (2), 363-382
<p>The datasets available for open access from the article ‘<em>Ballester, C. and Furió, D. (2024). Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 6 (2), 363-382</em>’ are provided here. This study has been supported by funding from the Spanish Ministry of Science, Innovation, and Universities (Project PGC2018-093645-B-100).</p> <p>The data encompasses the price series of the components of the final wholesale prices, other than the day-ahead market price, at an hourly frequency, from January 2017 to December 2021. In particular, the daily average of the hourly price series of the intraday market, which captures the net effect of the six sessions of the intraday market on the final price, the daily average of the hourly net effect on the final price of the procedure to solve technical constraints, the daily average of the hourly costs resulting from ancillary services and deviation management, the daily average of the hourly costs related to capacity payments and the daily average of the hourly costs associated with the interruptibility service. In addition, we compute the daily average of the hourly series of bids (price and amount) individually submitted by market participants to buy or sell energy, distinguishing between matched and non-matched bids, both in the day-ahead market and in the first session of the intraday market. Other energy-related price series included in the analysis are: the Dutch TTF futures price, the API2 index for the coal price, the EUA futures price, the percentage of hours with 100% use from the France-Spain interconnection, the spread from the France-Spain interconnection, the percentage of water reserves in the reservoirs of the Iberian Peninsula. All shareable data are made available in accordance with open data principles to promote transparency and reproducibility in research. However, there is a specific dataset that we are not authorized to share publicly. Specifically, this includes the data corresponding to the Dutch TTF futures price and the API2 index. Consequently, this dataset is published under restricted access.</p>
Open Data Set for the article Dynamic demand response to electricity prices: Evidence from the Spanish retail market. Utilities Policy, 88 (2024), 101763
<p><span>The datasets available for open access from the article ‘Furió, D. and Moreno-del-Castillo, J.<em> Dynamic demand response to electricity prices: Evidence from the Spanish retail market. Utilities Policy, 88 (2024), 101763</em>’ are provided here.</span></p> <p><span>The datasets comprise time series data on wholesale market global prices and quantity demanded by reference suppliers and competing retailers, along with day-ahead market prices for each of the 24 hours of the day spanning from January 1, 2007, to March 31, 2022. These series have been downloaded from the CNMC website. Additionally, primary temperature data were obtained from the Spanish Meteorological Agency’s website. This dataset provided hourly weather information from a nationwide network of weather stations. Given the scope of the demand series data, which reflects the entire Spanish market, the temperature series were constructed to ensure national representativeness. These data were then aggregated to develop comprehensive national temperature series, aligning them with the demand series. <span>Finally, a dummy variable for each day t of the studied period was constructed to capture the business/non-business day effect on electricity demand. It takes the value of 1 if </span></span><span>𝑡</span><span> corresponds to a working day (non-holiday, Monday to Friday) and 0 otherwise. The national holidays considered are as follows: January 1<sup>st</sup>, January 6<sup>th</sup>, May 1<sup>st</sup>, August 15<sup>th</sup>, October 12<sup>th</sup>, November 1<sup>st</sup>, December 6<sup>th</sup>, December 8<sup>th</sup>, and December 25th. Additionally, the corresponding Good Friday for each year included in the study period was also considered.</span></p>
More open abstracts? Comparing abstract coverage in Crossref and OpenAlex [dataset]
<p>Aggregated data underlying the blogpost:<strong><br><br>More open abstracts? Comparing abstract coverage in Crossref and OpenAlex<br></strong><a href="https://bmkramer.github.io/SesameOpenScience_site/thought/202411_open_abstracts/">https://bmkramer.github.io/SesameOpenScience_site/thought/202411_open_abstracts/</a><strong><br></strong><br>The dataset contains the following files:</p> <ul> <li><em>abstracts_crossref_openalex_202410.csv</em></li> <li><em>abstracts_crossref_openalex_data_dictionary.txt</em></li> </ul> <p>The csv file contains data on abstract coverage for Crossref DOIs in Crossref and OpenAlex, aggregated by publisher, for the top 1000 publishers in terms of number of retrieved dois. Scope is limited to publications with Crossref type 'journal-articles' and publication years 2022-2024. Variables are described in the data dictionary included in this record.<br><br>This analysis was performed using <a href="https://openknowledge.community/" rel="nofollow">Curtin Open Knowledge Initiative (COKI)</a> infrastructure, which is documented on GitHub: <a href="https://github.com/The-Academic-Observatory">https://github.com/The-Academic-Observatory</a>. Here, a number of open data sources (including Crossref, OpenAlex and OpenAIRE) are ingested into a Google Big Query environment, which can then be queried via SQL.<br><br>The following data sources were used:</p> <ul> <li> <p>Crossref (Metadata Plus snaphot 2024-10-31, Crossref member route API 2024-11-20)</p> </li> <li> <p>OpenAlex (data snapshot 2024-10-30)</p> </li> </ul> <p><br>The code used to generate the dataset is available on GitHub: <a href="https://github.com/bmkramer/more_open_abstracts">https://github.com/bmkramer/more_open_abstracts</a></p> <p> </p>
Voting on a Trade Agreement: Firm Networks and Attitudes Toward Openness
<p>Replication package for <span>Voting on a Trade Agreement: Firm Networks and Attitudes Toward Openness</span><span> </span></p>
X-COBOL: A Dataset of Open-Source COBOL repositories
<p>A dataset of 5195 open source COBOL files across 168 repositories</p>
cassatts in the attic open data supplement
Open the record for dataset details and reuse information.
The effect of opening angle on shock patterns in supersonic jets
<p>Movies in the form of animated gifs.</p> <p>Corresponding to figures, table and notation of paper submitted to MNRAS with the same title.</p> <p>Movies of jets exiting a circular nozzle with a</p> <p>Half-opening angle A in degrees,</p> <p>Mach number M, </p> <p>overpressure relative to ambient K and</p> <p>density D relative to the ambient medium. </p> <p>All simulations run to 200 time units.</p> <p>Adiabatic gas with specific heat ratio of 5/3. </p> <p>These are all pressure movies with the ambient pressure set to 0.6., ambient sound speed and density both unity.</p> <p> </p>
SCoV2-VAR: A light-weighted, customizable, and open-source database of 12 million SARS-CoV-2 genomes
<pre>Explosive accumulation of SARS-CoV-2 variants is posing a challenge to monitoring virus mutation and other data dealing, particularly based on centralized databases. The present study aimed to establish a light-weighted, customizable, and open-source database for SARS-CoV-2 genomes and annotations, without any access limit. The database, named SCoV2-VAR, was constructed, based on the variations (VAR) of the full-length SARS-CoV-2 (SCoV2) data uploaded on websites. All sequence samples were subject to quality control, single nucleotide polymorphism (SNP) annotation, format conversion, and final compression before appending to SCoV2-VAR. The final version of SCoV2-VAR (up to Feb 2024) contained more than 12 million SARS-CoV-2 records, with full genome and annotations. SCoV2-VAR was extremely light-weighted, with a storage size of 937 Mb for all 12 million sequences, post a 1: 596 compression. SCoV2-VAR is capable of timely updating, quickly querying, and customizable outputting SARS-CoV-2 sequences and their annotations. Additionally, the present study provided an overview of all 12 million SARS-CoV-2 samples, for both sequences and annotations.<br> <br><br></pre>
Understanding the Adoption of Modern JavaScript Features: An Empirical Study on Open-Source Systems
<p>This repository contains the data and analysis from an empirical study investigating the adoption trends of modern JavaScript features introduced with ECMAScript 6 (ES6) and beyond. By mining the source code history of 158 open-source JavaScript projects, the study identifies efforts to rejuvenate legacy code by replacing outdated constructs with modern ones. The findings highlight the extensive use of modern features, their widespread adoption within one to two years after ES6's release, and ongoing trends in the rejuvenation of JavaScript codebases.<br><br></p> <ul> <li> <p><strong>scripts.zip</strong>: Contains Python scripts used to analyze data and generate the graphs presented in the study's results.</p> </li> <li><strong>scripts-threats-analysis.zip</strong>: Contains the Python scripts used to analyze the projects without applying the study's filtering criteria and to generate the table presented in the Threats to Validity section.</li> <li> <p><strong>jsminer-tool.zip</strong>: Includes the tool developed to analyze GitHub repository history and collect metrics on the adoption of modern JavaScript features.</p> </li> <li> <p><strong>jsminer_database_backup.zip</strong>: Provides a PostgreSQL database dump containing all code review comments from the repositories analyzed in the study.</p> </li> </ul>
Data underlying research paper "Developing an open data intermediation business model: insights from the case of Esri"
<p><strong>Data underlying research paper “Developing an open data intermediation business model: insights from the case of Esri” </strong></p> <p>by Ashraf Shaharudin, Bastiaan van Loenen, and Marijn Janssen from Delft University of Technology (TU Delft), the Netherlands.</p> <p>This folder contains data underlying the research paper “Developing an open data intermediation business model: insights from the case of Esri”. It consists of:</p> <p>1. De-identified interview transcripts</p> <p>2. Informed consent form template</p> <p><strong>Note about the de-identified interview transcripts:</strong></p> <p>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and the role of Esri as open data intermediaries.</p> <p>The 27 interviews, involving 29 interviewees, were conducted between April 2023 and April 2024 based on the semi-structured approach. We shared the tentative interview questions with the interviewees in advance (for the majority, at least three working days prior). Since they are semi-structured interviews, the ultimate interview questions may differ from the tentative questions.</p> <p>We removed personally identifiable information from the transcripts. Some interviewees may risk being identifiable if their organization is known. Hence, we removed the organization and country information from all transcripts. </p> <p>With verbal communication, some sentences may be less incomprehensible in writing. Thus, we did minimal edits when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcripts as close to verbatim as possible. </p> <p><strong>Note about the informed consent form template:</strong></p> <p>We sent the informed consent form to every interviewee in advance and requested that they return it to us before or during the interview. </p> <p>All interviewees whose interview transcripts are recorded in this document give permission for the anonymized transcript of their interview, with personally identifiable information redacted, to be shared in 4TU.ResearchData repository so it can be used for future research and learning.</p> <p><strong>Acknowledgement:</strong></p> <p>This research is part of the 'Towards a Sustainable Open Data ECOsystem' (ODECO) project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.</p>
Mapping the Landscape of Open Source Health Economic Models: A Systematic Database Review and Analysis
<p><span>Health economic models are crucial for health technology assessment (HTA) to evaluate the value of medical interventions. Open source models (OSMs), where source code and calculations are publicly accessible, enhance transparency, efficiency, credibility, and reproducibility. This study systematically reviews databases to map the landscape of available OSMs in health economics.</span></p>
Open Science Website Review (Team 2)
<p>A document detailing Team 2's analysis of the various websites promoting the concept of open science for the "Open Science" Course and using Zenodo to generate a DOI for the aforementioned document</p>
Open data for publication Reconstruction of Ice Surface upon Acetone Adsorption: An in-situ ATR-IR Modulation Excitation Spectroscopy Study
<p>Original data for publication "Reconstruction of Ice Surface upon Acetone Adsorption: An in-situ ATR-IR Modulation Excitation Spectroscopy Study". Original data used for the Figures.</p>
ScienceDex guides
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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.