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410 results for “Data Repositories”
MAP 1 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
MAP 1. Topographic base map for the Philippine Archipelago.
FIGURE 101 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 101. Hydrophis [Leioselasma] spiralis. Photo © HV.
FIGURE 22 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 22. Dryophiops philippina (Zamboanga City Prov., Mindanao Id.) (KU 315167). Photo © RMB.
FIGURE 15 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 15. Ahaetulla prasina preocularis (Ilocos Prov., Luzon Id.) (KU 329698). Photo © RMB.
FIGURE 77 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 77. Myersophis alpestris (Holotype) (Mountain Prov., Luzon Id.) (KU 203012). Photo © JLW.
FIGURE 13 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 13. Cerberus schneideri (Guimaras Prov., Guimaras Id.) (KU 302979). Photo © CDS.
FIGURE 70 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 70. Sibynophis bivittatus (Brooke's Point, Palawan Id.) (KU 309608). Photo © RMB.
FIGURE 98 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 98. Hydrophis [Palemis] platuurus. Photo © JT.
FIGURE 69 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 69. Tropidonophis dendrophiops (Cagayan Prov., Luzon Id.) (KU 330031). Photo © RMB.
FIGURE 12 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 12. Aplopeltura boa (Zamboanga City Prov., Mindanao Id.) (KU 315147). Photo © RMB.
FIGURE 27 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 27. Pseudorabdion ater (male) (Zamboanga City Prov., Mindanao Id.) (KU 315197). Photo © RMB.
Data repository - Bachelor thesis: mapping geodiversity
<p>This repository contains all data necessary to reproduce data of the BSc. thesis of Minqiu Korevaar [13576917]. Bsc. Future Planet Studies at the University of Amsterdam. Additionally, the thesis can be requested by contacting the author.</p>
Model and Data Repository_CLEWs 4 Zambia
<p><span>This repository for the research affiliated with the University of Edinburgh encompasses a comprehensive collection of data and model files, meticulously curated to facilitate detailed analysis and modelling using the CLEWs (Climate-Land-Energy-Water) framework. The repository includes the following essential files:</span></p> <ol> <li><strong><span>CLEWs Scenario Data Files</span></strong></li> <li><strong><span>CLEWs Reference Diagram for the Baseline</span></strong><span>:</span></li> <ul> <li><span>A comprehensive PDF diagram illustrating the baseline interconnections within the CLEWs framework for Zambia. This diagram serves as a visual aid to understand the foundational relationships and interactions between climate, land, energy, and water systems.</span></li> </ul> <li><strong><span>CLEWs Number Crunching File</span></strong><span>:</span></li> <ul> <li><span>An Excel file containing detailed numerical analyses and computations essential for the CLEWs modelling. This file includes various datasets, calculations, and results that form the backbone of the scenario analyses.</span></li> </ul> <li><strong><span>Signed Stakeholder Consent Forms</span></strong><span>:</span></li> <ul> <li><span>Documentation of consent from stakeholders who contributed to the research, ensuring ethical standards and transparency in data collection and usage.</span></li> </ul> <li><strong><span>Detailed Stakeholder Responses</span></strong><span>:</span></li> <ul> <li><span>Comprehensive documentation of feedback and insights from stakeholders, providing valuable qualitative data that complement the quantitative analyses. These responses are crucial for understanding local perspectives and validating model assumptions.</span></li> </ul> <li><strong><span>GEOCLEWs Inputs and Outputs for Zambia</span></strong><span>:</span></li> <ul> <li><span>A collection of files generated by the GeoCLEWs_ZM script, which automates data collection from sources such as GAEZ v4 and FAOSTAT. The outputs include agro-climatic potential yield, crop water deficit, precipitation, and land cover data, combined with electricity information for detailed CLEWs modelling. This dataset is vital for integrated analysis and visualization of the CLEWs components.</span></li> </ul> </ol> <p><span>By centralising these critical resources, the Zenodo repository provides an invaluable tool for researchers, policymakers, and stakeholders engaged in sustainable development and climate resilience efforts in Zambia. Each file has been meticulously prepared and uploaded to ensure ease of access, facilitating robust analysis and informed decision-making within the context of the CLEWs framework.</span></p>
Forging the Path to FAIR Data Through Data Repository and Journal Publication Community Partnerships
Open the record for dataset details and reuse information.
FIGURE 14 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 14. Ahaetulla prasina preocularis (Zambales Prov., Luzon Id.) (TNHC 62721). Photo © RMB.
UCSCXenaShiny Extra Data Repository
<p>This is the extra data repository for <a href="https://github.com/openbiox/UCSCXenaShiny">UCSCXenaShiny</a> project. All datasets are obtained either from the public database UCSC Xena/GDC portal, or publications. The datasets are cleaned and stored in RData format and most data source can be obtained by `attr(obj, "data_source)"` in R.</p> <p>If you use the data in your academic project, please cite regarding data source and our project paper:</p> <p>Wang, S., Xiong, Y., Zhao, L., Gu, K., Li, Y., Zhao, F., ... & Liu, X. S. (2022). UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data. <em>Bioinformatics</em>, <em>38</em>(2), 527-529.</p>
Repository for Jupiter Equatorial Zone Disturbance Data
<p>Antuñano et al. (2018) used Jupiter infrared data captured by 8 different ground-based instruments mounted on the Infrared Telescope Facility (IRTF) on Maunakea and Very Large Telescope (VLT) in Paranal between 1984 and 2017, to investigate a pattern of cloud clearance events at Jupiter's equatorial zone at 5 µm.This repository contains (i) cylindrical maps of Jupiter's 5-µm images from 1999-2000 and 2006-2007 captured by NSFCam and NSFCam2 instruments, respectively, mounted on the IRTF, showing Jupiter's Equatorial Zone disturbance, and (ii) a data file showing the brightness scans from ±7° latitude as a function of time used to build Figure 2.</p> <p>DATA</p> <p>As descibed in Antuñano et al. (2018), the normalised average brightness from 1984-2017 was used to charcterise three different cloud clearance events of Jupiter's equatorial zone at 5 µm. The normalised average brightness of the equatorial zone between ±7° latitude is given in "Brightness_scans_1984-2017.dat", where the first column represents the Julian date, the second column represents the latitude in planetocentric degrees, the third column represents the normalised average brightness and the fourth column gives the standard deviation of the normalised average brightness.</p>
Data showcase papers published in the Mining Software Repositories (MSR) conference
<p>Data regarding data showcase papers published in the Mining Software Repositories (MSR) conference.</p> <p>The following data files are included.</p> <p>citation-table.csv: SWEBOK areas of citing studies<br> citations.bib: Bibliographic details of citing studies<br> citing_dp_dois_citations.txt: Citations of citing studies<br> data_papers.bib: MSR data papers<br> dp_dois_citations.txt: Citations of data papers<br> false_citations.bib: Citing studies that don't actuall use data papers<br> msr-all: Bibliographic details of all MSR papers<br> ndp_dois_citations.txt: Citations of non-data papers<br> ndp_rand_dois_citations.txt: Citations of a randomly chose non-data paper weighted sample<br> self-citations.csv: Data papers citations by their authors</p> <p> </p>
Data repository for the paper titled: "The intriguing co-distribution of the copepods Calanus hyperboreus and Calanus glacialis in the subsurface chlorophyll maximum of Arctic seas"
<p>Data and R-code for publication: “The intriguing co-distribution of the copepods <em>Calanus hyperboreus </em>and <em>Calanus glacialis </em>in the subsurface chlorophyll maximum of Arctic seas”.</p> <p> </p> <p>By Moritz S Schmid and Louis Fortier</p> <p> </p> <p>Attached are R data files of copepod lipids, copepod vertical distributions, and chl <em>a </em>profiles, as well as R-code.</p> <p>The following sea ice data was used: Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data, available at : https://nsidc.org/data/nsidc-0051.</p> <p>The following ocean color data was used: MODerate resolution Imaging Spectroradiometer (MODIS), Aqua satellite, available here: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua</p> <p> </p> <p>Regards</p>
The Effects of Cycle and Treadmill Desks on Work Performance and Cognitive Function in Sedentary Workers: data repository of a review and meta-analysis.
<p>This repository contains additional files related to the review and meta-analysis. The first dataset contains list of search terms. The second dataset contains list od studies included in the meta-analysis. The third dataset contains study evaluation using PEDro scale tool. The fourth dataset contains two additional forrest plots (Effect of cycle and treadmill desks on typing errors and Effect of cycle and treadmill desks on congruent Eriksen Flanker test).</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.