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Dataset results
99 results for “CSV”
RMLStreamer supported by RML-view-to-CSV in the performance track of the KGCW Challenge 2024
<p>This repository contains all necessary data to reproduce the participation of RMLStreamer with support of RML-view-to-CSV in the <a href="../records/10721875">KGCW 2024 Challenge</a>, as well as the reported results.</p> <p>For more information we refer to the related paper:</p> <p><em>E. de Vleeschauwer, B. De Meester, RMLStreamer supported by RML-view-to-CSV in the performance track of the KGCW Challenge 2024, in: Proceedings of the 5th International Workshop on Knowledge Graph Construction (KGCW 2024) co-located with 21th Extended Semantic Web Conference (ESWC 2024), 2024</em></p> <p> </p>
LENS: A LEO Satellite Network Measurement Dataset (CSV) - 202405
<p>LENS dataset 2024-05 (CSV format)</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>
LENS: A LEO Satellite Network Measurement Dataset (CSV) - 202404
<p>LENS dataset 2024-04 (CSV format)</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>
CSV Citation and Metadata Sources from Dimensions on DOI: 10.2196/14434
<p>CSV Exports from Dimensions derived from <a href="https://doi.org/10.2196/14434">https://doi.org/10.2196/14434</a> - sources need to be evaluated </p>
CSV-format data for: Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7
<p>This is a supplementary upload to <a href="https://zenodo.org/record/4579857">https://zenodo.org/record/4579857</a>.</p> <p>This upload provides the same anonymised individual-level SARS-CoV-2 testing data for England as that earlier upload provided, but provides it in CSV format (comma-separated values) instead of in the previous QS format. The QS format requires specialised software (e.g. the <strong>qs</strong> package for R) to read, so I am providing the data in CSV format to facilitate access to and re-use of the data.</p> <p>Please see the original data upload, <a href="https://zenodo.org/record/4579857">https://zenodo.org/record/4579857</a>, the associated journal article, <a href="https://www.nature.com/articles/s41586-021-03426-1">Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7</a>, and the project's Github repository, <a href="https://github.com/nicholasdavies/cfrvoc">https://github.com/nicholasdavies/cfrvoc</a>, for full details.</p>
Stereo-seq E12.5_E1S3 bin 200 expression matrix (dgC Matrix), spatial locations (.csv), and h5ad file (scanpy flavor)
<p>Expression matrix in rds file format and spatial locations of E12.5_E1S3 downloaded from the Mouse Organogenesis Spatiotemporal Transcriptomic Atlas. Files were processed using an adapted version of the STOMICS Analysis Workflow (SAW) pipeline. </p>
CSV Dataset Files and JSON OpenRefine Recipes for Alignment of the Schoenberg Dataset of Manuscripts (SDBM) Name Authority with Wikidata
<p>Dataset CSVs and JSON recipe files for OpenRefine for a project to align Name Authority records in the Schoenberg Dataset of Manuscripts (SDBM) with Wikidata Items</p>
ASAS-SN 100 Million Variable Star Python CSV filter
<p>A subset of the ASAS-SN 100 Million Variable Star Database CSV filter</p>
MAgPIE model runs csv for plotting: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
<p>This .zip file contains the data used to create the figures for the paper. It includes .csv files and .nc files for maps. This version includes additional files like the mapping between countries and MAgPIE're economic regions.</p>
CSV and JSON data describing the quantity and content of uploads to Thingiverse for 2015-2020
<p>The COVID-19 pandemic profoundly affected various aspects of daily life, particularly the supply and demand of essential goods, resulting in critical shortages. This included personal protective equipment (PPE) for medical professionals and the general public. To address these shortages, online "maker communities" emerged, aiming to develop and locally manufacture critical products. While some organized efforts existed, the majority of initiatives originated from individuals and groups on platforms like Thingiverse. This paper presents a longitudinal analysis of Thingiverse, one of the largest maker community websites, to examine the pandemic's effects. Our findings reveal a surge in community output during the initial lockdown periods in major contributing nations (primarily those in the western-hemisphere), followed by a subsequent decline. Additionally, throughout 2020, pandemic-related products dominated uploads and interactions during this period. Based on these observations, we propose recommendations to expedite the community's ability to support local, national, and international responses to future disasters.</p>
Trialstreamer database (CSV)
<p>We provide up-to-date data indexed by Trialstreamer in CSV format. </p>
Existing well locations in Cebu and Mactan islands, Philippines (CSV format)
Open the record for dataset details and reuse information.
CSV and JSON data describing the quantity and content of uploads to Thingiverse for 2015-2020
Open the record for dataset details and reuse information.
CSV Kalibr
<p>CSV hasil crawler situs kalibrr menggunakan parsehub</p>
ENTSO-E PECD (European Climate Database) from MAF 2019 in CSV and Feather formats
<p>ENTSO-E has published the PECD dataset with the Mid-term Adequacy Forecast (MAF) 2019: https://www.entsoe.eu/outlooks/midterm/#download</p> <p>The downloadable archive contains 3 large Microsoft Excel (~350 MB each). Each file contains the hourly data for all the considered weather years (1982-2016) for all the MAF regions (grouped in tabs).</p> <p>Here we provide the same data but in a more open and user-friendly format.</p> <p><strong>Single files</strong></p> <p>Data saved in CSV and <a href="https://blog.rstudio.com/2016/03/29/feather/">Feather format</a> (using R package feather 0.35). Each file contains the hourly data in a wide tabular format with area, day, month, hour and year (1982-2016). The files are:</p> <ul> <li>PECD-MAF2019-wide-PV.csv (and .feather)</li> <li>PECD-MAF2019-wide-WindOffshore.csv (and .feather)</li> <li>PECD-MAF2019-wide-WindOnshore.csv (and .feather)</li> </ul> <p><strong>Split by year</strong></p> <p>We provide here three archives each one containing a file per year. The files are:</p> <ul> <li>PECD-MAF2019-wide-PV.single_years.tar.bz2</li> <li>PECD-MAF2019-wide-WindOffShore.single_years.tar.bz2</li> <li>PECD-MAF2019-wide-WindOnshore.single_years.tar.bz2</li> </ul> <p> </p> <p> </p>
Mapping the world's free-flowing rivers: CSV Dataset
<p>These data were originally generated by: Grill, G., Lehner, B., Thieme, M. <em>et al.</em> Mapping the world’s free-flowing rivers. <em>Nature</em> 569, 215–221 (2019). <a href="https://doi.org/10.1038/s41586-019-1111-9">https://doi.org/10.1038/s41586-019-1111-9</a>.</p> <p>The dataset here is a CSV generated from the original data curated and generated by Grill <em>et al.</em> to facilitate processing of the data using a variety of computational tools. The attribute table of the data generated in the study were extracted from an ArcGIS geodatabase format using QGIS and converted to a CSV.</p> <p>The description of the variables and attributes can be found in the documentation of the original dataset: <a href="https://figshare.com/articles/Mapping_the_world_s_free-flowing_rivers_data_set_and_technical_documentation/7688801">https://figshare.com/articles/Mapping_the_world_s_free-flowing_rivers_data_set_and_technical_documentation/7688801</a>. </p>
US FDA FAERS Drug Adverse Event Dataset Processed as Relational CSV
<p>WARNING: This is an early attempt at processing a large dataset, and I have not yet completely validated the processing scripts or the resulting CSV files.</p> <p>This is a compressed archive of the US FDA FAERS Drug Averse Event database, obtained from open.fda.gov (https://open.fda.gov) and processed with scripts that I wrote (https://github.com/dbuijs/faers2csv) to convert the 100 GB of JSON files into relational CSV that take up approximately 6 GB of space and are suitable for loading into a relational database such as PostgreSQL. </p> <p>This version of the data was processed on January 29, 2016. </p> <p>faerscsv.tar.bz2 expands into a folder called csv, with 4 relational CSV files for each source JSON file.</p> <p>faerstats.tar.bz2 expands into a folder called stats, with a text file for each CSV file containing summary statistics generated by csvstat (Python CSVkit).</p>
Energy CSV files for analysing the energy efficiency of Code LLaMA generated code solutions
<p>This dataset contains CSV files for the different runs of the code solutions for three problems (Closest Numbers, Two Sum, String Replacement) in three programming languages (C++, JavaScript, Python) either generated by Code LLaMA upon request or implemented by a human. </p>
Dataset in csv format containing labor force data in a synthetic population
Open the record for dataset details and reuse information.
2023-NERTHUS-Pumpfail-Data-csv
<p>The raw data from the simulations included in "Molten salt reactor loss of flow accident analysis using the NERTHUS dynamic model" published by NSTOR.</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.