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334
datasets available to search
ShareScore release 0.7.1
Dataset results
334 results for “Python”
ASAS-SN 100 Million Variable Star Database Python CSV Filters
<p>ASAS-SN 100 Million Variable Star Database Python CSV Filters</p>
Additional ASAS-SN Variable Star Python CSV filters
<p>Additional ASAS-SN Variable Star Python CSV filters</p>
Soil images in DICOM format including Python programs for data transformation, 3D analysis, CNN traininig, CNN analysis
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Data from: Detecting an elusive invasive species: a diagnostic PCR to detect Burmese python in Florida waters and an assessment of persistence of environmental DNA
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Phylogeography, historical demography and systematics of the world’s smallest pythons (Pythonidae, Antaresia)
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Data from: Evolution of extreme ontogenetic allometric diversity and heterochrony in pythons, a clade of giant and dwarf snakes
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Phylogenomics, biogeography and taxonomic revision of New Guinean pythons (Pythonidae, Leiopython) harvested for international trade
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Post-prandial cardiac hypertrophy is sustained by mechanics, epigenetic, and metabolic reprogramming in pythons [ATAC-Seq]
GEO Series GSE273555. Python regius. 14 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Regression of Post-Prandial Cardiac Hypertrophy in Burmese Pythons is Mediated by FoxO1
GEO Series GSE271793. Python bivittatus. 8 samples. Type: Expression profiling by high throughput sequencing.
Exploring the Security Awareness of the Python and JavaScript Open Source Communities
<p>Online appendix for "Exploring the Security Awareness of the Python and JavaScript Open Source Communities"</p>
Automated Unit Test Generation for Python—Experiments
<p>This archive contains the used projects, the raw result data, and the Jupyter Notebook used for evaluation of our work</p> <p>“Automated Unit Test Generation for Python”</p> <p>accepted at the 12th Symposium for Search-Based Software Engineering (SSBSE 2020), October 7–8, 2020, Bari, Italy.</p>
Dataset and code for supporting Smith et al. 2020. Restricted constrictors: Space use and habitat selection of native Burmese pythons in Northeast Thailand
<p>Datasets, shapefiles and code used for publication of Restricted constrictors: Space use and habitat selection of native Burmese pythons in Northeast Thailand</p>
ArchPython: Verificando a Arquitetura de Sistemas Python
<p>Erosão arquitetural é um problema recorrente enfrentado por arquitetos de software, podendo ser um problema ainda maior quando o sistema é desenvolvido com uma linguagem dinamicamente tipada como o Python. Atualmente, existe a necessidade de ferramentas efetivas que façam uma checagem de conformidade arquitetural em Python, pois, por ser dinamicamente tipada, é necessário identificar quais os possíveis tipos de cada variável antes de checar a conformidade. O objetivo deste trabalho é propor uma ferramenta que, dada uma arquitetura desejada, seja possível identificar se um determinado sistema está conforme o planejado e oferecer ao arquiteto diferentes formas de visualizar o status de conformidade da arquitetura.</p>
Characterising Pythonic Data Structure Usage Scenarios in Textbooks
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Dataset for PSASpotter: A Tool to Detect the Usage of Platform-Specific APIs in Python
<p>This dataset was utilized in the research paper titled "PSASpotter: A Tool to Detect the Usage of Platform-Specific APIs in Python" for publication in Mining Software Repositories (MSR). Herein, we present a concise abstract of the study.</p> <p>A <em>platform-specific API</em> is implemented for a particular platform (e.g., operating system), thus, it may not work on other platforms than the target one. Detecting the usage of such APIs is important for supporting software maintenance, as it allows maintainers to be alerted about APIs that could pose potential risks. This paper proposes PSASpotter, a tool to detect the usage of platform-specific APIs in Python systems. PSASpotter also identifies whether the platform-specific APIs are used within a defensive code, such as try/except blocks or if blocks that check the current platform. PSASpotter can support the development of novel empirical studies about the usage of platformspecific APIs in the Python ecosystem. Moreover, the defensive code detected by PSASpotter may contain alternative solutions for unavailable APIs, which can provide insights for software development and testing across multiple platforms. PSASpotter is available at: https://github.com/ricardojob/PSASpotter. </p> <p> </p> <div> <div>PSASpotter is an AST-based tool that detects API usage at the function/method level. Given a Git project, PSASpotter analyzes all Python files and exports details of platform-specific API usage. Specifically, for each usage, PSASpotter reports information about the analyzed project (name and commit), the used API (name and availability), and the usage location (filename, line, and GitHub link). In addition, PSASpotter also reports whether the usage happens within defensive code.</div> </div> <p>The tool <strong>PSASpotter</strong> is publicly available at <a href="https://github.com/ricardojob/PSASpotter">https://github.com/ricardojob/PSASpotter</a>.</p>
Example for USA metrological years 2020 and 2022 results data sets and post processing python code
<p>The files contain LCF model output data for 2020 and 2022 metrological years in the US as well as a python post-processing code to aggregate the reults of these files.</p>
Example data for "nctoolkit: A Python package for netCDF analysis and post-processing"
<p>This is data for the coding example in the paper "nctoolkit: A Python package for netCDF analysis and post-processing".</p> <p>The files are projected surface temperature from the the MPI-ESM-2-LR model covering the years 1850-2099, under the SSP5 8.5 scenario and the r1i1p1f1 variant. </p> <p>The files were downloaded from the Earth System Grid Federation: https://esgf-node.llnl.gov/projects/esgf-llnl/</p> <p>Data covers the historical period 1850-2014 and the SSP5 8.5 period 2015-2099.</p> <p>Files are for illustrative purposes only and are unchanged from the originals.</p> <p> </p> <p> </p>
Data for "Performance comparison of TwinCat ADS for Python and Java"
<p>Experiement Data for the paper "Performance comparison of TwinCat ADS for Python and Java". Contains the measurements as well as the code that was used to get them and a small description on how to replicate the experiment.</p>
Post-prandial cardiac hypertrophy is sustained by mechanics, epigenetic, and metabolic reprogramming in pythons [RNA-Seq]
GEO Series GSE273554. Python regius. 6 samples. Type: Expression profiling by high throughput sequencing.
cgbind: A Python Module and Web App for Automated Metallocage Construction and Host- Guest Characterization: M2L4 dataset
<p>Dataset containing 5639 saved <em>cgbind</em> cage objects.</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.