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867 results for “repositories”
SHEET project - Unibo Computer Vision Final Repository
<p> </p> <p>This version<strong> fixes the previous one, in which there were missing models weights</strong></p> <p><strong>More information regarding SHEET Project activity carried out from the UniBo group can be found at the <a href="https://github.com/ECOPOM/SHEET_project_repo">dedicated GitHub repository</a></strong>.</p> <p> </p>
The BORDERSCAPE Project WebGIS Repository
<div> <div># The BORDERSCAPE Project WebGIS Repository: Description of Contents</div> <br> <div>Data are stored in a folder named `borderscape_webgis_data_v6.0.zip`.</div> <br> <div>Singular files are:</div> <div>- `README.md`: a formatted text document (Markdown syntax) describing the contents of this repository.</div> <div>- `sites.geojson`: a GeoJSON file with information on each archaeological site included in the webGIS.</div> <div>- `borderscape_sites.csv`: the list of archaeological sites and their attributes from which the `sites.geojson` file was built for the webGIS, in the open CSV (comma separated values) format.</div> <div>- `borderscape_archaeological_sites.xlsx`: the list of archaeological sites and their attributes. It contains the same information as `borderscape_sites.csv` as an Excel Workbook (Office Open XML)</div> <div>- `flooding_nile.geojson`: a GeoJSON polygon file with information on Nile flood levels at 86m and 94.5m ASL.</div> <div>- `borderscape_bibliography.bib`: A bibliography with all of the sources abbreviated in the `sites.csv` file.</div> <div>. `merged_coronas_freegr.tif`: a GEOtif of the georeferenced CORONA imagery showing the Lower Nubian landscape prior to the construction of the Aswan High Dam.</div> <br> <div>Finally, a folder named `borderscape_data.zip` contains the following ZIP archives with the spatial (shapefiles) data:</div> <div>- `borderscape_archaeological_sites.zip`: a ZIP archive of a shapefile showing all of the archaeological sites and their attributes used in the webGIS.</div> <div>- `sites_phase1.zip`: a ZIP archive of a shapefile showing archaeological sites used in the webGIS from Phase 1.</div> <div>- `sites_phase2.zip`: a ZIP archive of a shapefile showing archaeological sites used in the webGIS from Phase 2.</div> <div>- `sites_phase3.zip`: a ZIP archive of a shapefile showing archaeological sites used in the webGIS from Phase 3.</div> <div>- `sites_phase4.zip`: a ZIP archive of a shapefile showing archaeological sites used in the webGIS from Phase 4.</div> <div>- `sites_phase5.zip`: a ZIP archive of a shapefile showing archaeological sites used in the webGIS from Phase 5.</div> <div>- `sites_phase6.zip`: a ZIP archive of a shapefile showing archaeological sites used in the webGIS from Phase 6.</div> <div>- `86m_flooding_contour.zip`: a ZIP archive of a shapefile showing flooded areas at 86m ASL.</div> <div>- `94.5m_flooding_contour.zip`: a ZIP archive of a shapefile showing flooded areas at 94.5m ASL.</div> <br><br><br><br><br></div>
Dataset - No Reference Image Quality assessment Scores for Humanities Online Repositories
<p>The dataset contains data on No-Reference Image Quality Assessment (NR-IQA) scores for online repositories in the humanities.</p>
Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects
<p>This is the replication package for the paper “Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects”.</p> <p>In project_curation_selection, there is the curation process of the 100 selected projects including the identification of GitHub repositories and classification of evolution scenarios. </p> <p>In distribution_commits_issues_contributors_market_value_before_after_deploy, data collection from GitHub projects includes the distribution of total commits, contributors, and issues before and after deployment of each investigated project. </p> <p>In analysis_commit_messages, there is qualitative analysis of commit message content from all investigated projects. </p> <p>In the analysis_contributors section, the data focuses on analyzing the profiles of each GitHub contributor involved in the investigated projects.</p> <p>In analysis_market_value_by_project, data refers to the market value and volume of each investigated project. </p> <p>In codes, there are scripts used to obtain the analyzed data.</p> <p> </p>
LocoD Data Repository
<p>We publish this repository to offer a common data set to conduct comparisons between different methods. Furthermore, if access to equipment, facilities, and/or research participants is not possible, then this repository facilitates testing of the preliminary algorithms. The recorded signal from EMG, IMU, and pressure sensor, along with important information such as tags and recording properties, has been saved in a structure.</p> <p>Our Data Repository consists of data from 8 Female and 7 male subjects and none of them had prior experience with LocoD.</p> <p>The recorded data corresponds to one recording per participant digitalized at 2 kHz. Data includes 8 EMG (Delsys) channels, 3 IMUs (Delsys), and one pressure sensor (Delsys).</p> <p>Data consists of 30 trials of our circuit. Our circuit contains terrains for walking, stair ascent, stair descent, ramp ascent, and ramp descent. Data were tagged when the subjects started a terrain manually by an operator.</p> <p>SEMG electrodes were placed on the semitendinosus, biceps femoris, tensor fasciae latae, rectus femoris, vastus lateralis, vastus medialis, and gracilise. These muscles were found using palpation by an experienced physiotherapist and were selected based on a literature search for the most common muscle signals used to control lower limb prosthetics.</p> <p>IMUs were placed above the knee, below the knee, and on the foot to get all the joint orientations during different movements.</p> <p>A Pressure sensor was built into an insole used by each research participant.</p> <p>Participants were instructed to enter each terrain, such as stairs or ramps with their sensorized legs. These different locomotion modes were selected as they are the most common movements in daily life.</p>
DiverReef: The global repository of divers' and snorkelers' behavior during tourism activities and their interactions with reef environments over 20 years
<p>The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.</p>
Exploring the CI/CD Pipeline in FLOSS Repositories of IoT Embedded Systems
<p>Spreadsheets, scripts, and graphs.</p> <p>Data for responses from the first round of review.</p>
Diversity and Inclusion (D&I)- Related AI Incidents Repository
<p>This is a repository of Diversity and Inclusion (D&I) related AI incidents. This repository is proposed in our recently submitted paper titled "AI for All: Identifying AI incidents Related to Diversity and Inclusion".</p>
Fermi-LAT data for crab-multi-instrument-systematics repository
Open the record for dataset details and reuse information.
Data Repository for Combined Experimental and Computational Study of the Reactivity of the Methanimine Radical Cation (H2CNH·+) and Its Isomer Aminomethylene (HCNH2·+) with Propene (CH3CHCH2)
Open the record for dataset details and reuse information.
Data Repository: Direct electron beam writing of silver using a β-diketonate precursor: first insights
<h2>Summary</h2> <p>The data is contained in a single zip file with the two main folders: "Tungsten_SEM_deposition" and "FESEM_deposition". </p> <p>The folder "Tungsten_SEM_deposition" contains all used data from deposition experiments in the Hitachi S3600 tungsten filament scanning electron microscope (SEM) using the precursor (hfac)AgPMe3 with the home-built gas-injection system.</p> <p>The folder "FESEM_deposition" contains all used data from deposition in the Zeiss Crossbeam 340 KMAT using the field emitter scanning electron microscope (FESEM) capability of the dual beam instrument using the precursor (hfac)AgPMe3 with the commercial gas-injection system (Kleindiek).</p> <p>In each folder all raw SEM images related to these experiments are provided. In addition all pattern files and the most important data on the microstructural characterization using transmission electron microscopy (TEM) and energy-dispersive X-ray (EDX) spectroscopy are provided and indicated be the corresponding folder names.</p> <h3><br>Folder structure: "Tungsten_SEM_deposition"</h3> <p>1) KH157_new_Si_Ag_hfacAgTMP_deposition: images of the deposition experiment taken in the tungesten filament microscope</p> <p>2) KH157_Si_Ag_hfacAgTMP_HRSEM: high-resolution images taken in the field emitter scanning electron microscope Hitachi S-4800</p> <p>3) KH157_new_Si_Ag_hfacAgTMP_EDX_10kV: elemental analyses done in the field emitter microscope Hitachi S-4800 using an EDAX Genesis 4000 detector and 10 kV acceleration voltage</p> <p>4) KH157_new_Si_Ag_hfacAgTMP_EDX 2022-09 15mm: elemental analyses done in the field emitter microscope Hitachi S-4800 using an EDAX Genesis 4000 detector using 5 kV and 7 kV acceleration voltage</p> <p>5) KH157 - Pillar structure in cross-section: imaging and cross-sectioning done in a Tescan Lyra dual beam instrument plus elemental analysis done in a Tescan Mira FESEM equipped with an EDAX EDX system</p> <p>6) KH157_Si_Ag_hfacAgTMP_TEM: data related to transmission electron microscopy studies done in a ThermoFischer Themis 200 G3 microscope</p> <p>7) pattern_Katja_Hoeflich_Aug2022: pattern and design files used for automation of the patterning with the Xenos patterning software</p> <h3><br>Folder structure: "FESEM_deposition"</h3> <p>1) FESEM_deposition_Si: images of the deposition experiment in the field emitter dual beam instrument</p> <p>2) FESEM_deposition_TEM_grid: data related to the tranmission electron microscopy studies done in a ThermoFischer Themis 200 G3 microscope for deposition directly onto a TEM grid</p> <p>3) pattern: pattern files for patterning carried out using the SmartFIB software</p>
Evaluating Test Quality in GitHub Repositories: A Comparative Analysis of CI/CD Practices Using GitHub Actions
Open the record for dataset details and reuse information.
Dataset and scripts for "Investigating the Cross-Repository Socially Connected Teams in Github"
<p>Dataset and scripts for "Investigating the Cross-Repository Socially Connected Teams in Github"</p> <p>README included in the files</p>
Automated Extraction of Artificial Intelligence Model Metadata from Repositories
<p>Replication datasets for MSR submission: "Automated Extraction of Artificial Intelligence Model Metadata from Repositories"</p> <p>This package contains the following:</p> <p>1. The model zoo dataset of 277 repository URLs.<br> 2. The arXiv dataset of 1,398 repository URLs extracted from arXiv papers.<br> 3. The annotated evaluation samples for both datasets with incorrect and missing properties marked per model.<br> </p>
FAIRness of Repositories & Their Data: A Report from LIBER's Research Data Management Working Group
<p>Data repositories play a crucial role in the evolution of Open Science. The FAIR Data Principles establish how to make data Findable, Accessible, Interoperable and Reusable (Wilkinson et al., 2016). The FAIR principles are as follows: </p> <p><strong>To Be Findable</strong></p> <ul> <li>F1. (meta)data are assigned a globally unique and eternally persistent identifier.</li> <li>F2. data are described with rich metadata.</li> <li>F3. (meta)data are registered or indexed in a searchable resource.</li> <li>F4. metadata specify the data identifier.</li> </ul> <p><strong>To Be Accessible:</strong></p> <ul> <li>A1 (meta)data are retrievable by their identifier using a standardized communications protocol.</li> <li>A1.1 the protocol is open, free, and universally implementable.</li> <li>A1.2 the protocol allows for an authentication and authorization procedure, where necessary.</li> <li>A2 metadata are accessible, even when the data are no longer available.</li> </ul> <p><strong>To Be Interoperable</strong></p> <ul> <li>I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.</li> <li>I2. (meta)data use vocabularies that follow FAIR principles.</li> <li>I3. (meta)data include qualified references to other (meta)data.</li> </ul> <p><strong>To Be Reusable</strong></p> <ul> <li>R1. meta(data) have a plurality of accurate and relevant attributes.</li> <li>R1.1. (meta)data are released with a clear and accessible data usage license.</li> <li>R1.2. (meta)data are associated with their provenance.</li> <li>R1.3. (meta)data meet domain-relevant community standards. </li> </ul> <p><strong>Methodology</strong></p> <p>Based on the FAIR Data Principles, two questionnaires were created. The first (hereafter #Q1 - see Appendix #1) targeted repository managers and/or librarians and consisted of 40 questions. The second (hereafter #Q2 - see Appendix #2) targeted technical staff responsible for repository development and maintenance and consisted of 25 questions. </p> <p>Members of LIBER’s <a href="https://libereurope.eu/strategy/research-infrastructures/rdm/">Research Data Management (RDM) Working Group</a> circulated the questionnaires between December 2018 and February 2019. Responses were collected from managers and/or librarians of 29 repositories for the first (#Q1) questionnaire. </p> <p>In addition, technical staff responsible for the development and maintenance of 14 repositories (Table 1) responded to the second (#Q2) questionnaire. In 11 cases, repositories filled out both #Q1 and #Q2. </p> <p>In this report, the responses for both questionnaires have been merged and analyzed to gain a comprehensive picture about FAIRness at the level of repositories and their data.<br> </p>
Data repository Coen Prins bachelorthesis 2019
<p>This zipfile contains all the raw data used during my bachelor thesis regarding the Suppression and induction of early plant defenses by <em>Tetranychus urticae.</em>It also includes the statistical methods used to analyse the data. </p> <p>Within the folder are txt files that explain how to interpret the data & statistical methods </p> <p> </p> <p> </p>
FIGURES 5–7 in A new Pseudopyrochroa Pic, 1906 from Yunnan, China with a key to adult Pseudopyrochroa males from the Province and correction on type repository for Frontodendroidopsis pennyi Young (Coleoptera: Pyrochroidae: Pyrochroinae)
FIGURES 5–7. Pseudopyrochroa grzymalae, sp. nov., adult female. 1) Habitus, dorsal view. 2) Head, dorsal view. 3) Left antenna.
FIGURES 8–11 in A new Pseudopyrochroa Pic, 1906 from Yunnan, China with a key to adult Pseudopyrochroa males from the Province and correction on type repository for Frontodendroidopsis pennyi Young (Coleoptera: Pyrochroidae: Pyrochroinae)
FIGURES 8–11. Heads of adult, males of Pseudopyrochroa species, dorsal view. 8) P. basalis (Pic). 9) P. cardoni (Fairmaire). 10) P. inthanonensis Young. 11) P. lineaticollis Pic.
FIGURES 1–4 in A new Pseudopyrochroa Pic, 1906 from Yunnan, China with a key to adult Pseudopyrochroa males from the Province and correction on type repository for Frontodendroidopsis pennyi Young (Coleoptera: Pyrochroidae: Pyrochroinae)
FIGURES 1–4. Pseudopyrochroa grzymalae, sp. nov., adult male. 1) Habitus, dorsal view. 2) Head (cranial apparatus), dorsal view. 3) Left antenna. 4) Abdominal apex and genitalia (distal parameres & penis), ventral view.
Supporting dataset for : Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)
<p>This dataset supports the conference paper, 'Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)', <a href="https://doi.org/10.17868/67963">deposited and available in Strathprints</a> and presented at the 14th International Conference Open Repositories (OR2019). It also supports the journal article, 'Enhancing content discovery of open repositories: an analytics-based evaluation of repository optimizations', published in Publications. Full details of these publications are as follows: </p> <ul> <li>Macgregor, G. (2019). <em>Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)</em> . (pp. 1-11). Glasgow: University of Strathclyde [Strathprints repository]. Available: <a href="https://doi.org/10.17868/67963">https://doi.org/10.17868/67963</a> </li> <li>Macgregor, G. (2020). Enhancing content discovery of open repositories: an analytics-based evaluation of repository optimizations. <em>Publications</em>, <em>8</em>(1), [8]. <a href="https://doi.org/10.3390/publications8010008">https://doi.org/10.3390/publications8010008</a></li> </ul> <p>The dataset comprises a series of comma-separated values plain text documents (.csv). The .csv files contain data pertaining to COUNTER compliant usage statistics, search query traffic from Google Search Console, web traffic data from Google Analytics and figures on annual full-text repository deposits made to the Strathprints repository. A README.txt is included, describing in more detail the nature and the structure of the data.</p> <p>All data relate to the EPrints repository, <a href="https://strathprints.strath.ac.uk/">Strathprints</a>, based at the University of Strathclyde.</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.