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99 results for “CSV”
Brussel mobility Twitter sentiment analysis CSV Dataset
<p>SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality. <br>SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages – including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.<br>This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future.<br>The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility. <br>As part of writing a chapter for the SSH CENTRE book on ‘Mobility’, we set out to analyse the sentiment of users on Twitter regarding shared and active mobility modes in Brussels. This involved us collecting tweets between 2017-2022. A tweet was collected if it contained a previously defined mobility keyword (for example: metro) and either the name of a (local) politician, a neighbourhood or municipality, or a (shared) mobility provider. The files attached to this Zenodo webpage is a csv files containing the tweets collected.”. </p>
COVID-19 daily situation reports - partial data extracted to .csv
<p><span>Government of Nepal Ministry of Health and Population (MoHP) and World Health Organization’s Country Office in Nepal published daily situation reports monitoring the pandemic activity on a national level. Daily situation reports were published in a PDF format including up-to-date figures on the number of COVID-19 cases, the number of PCR-tests performed at each laboratory as well as the respective number of positive test results. The provided data contains parts of the data from these .pdf reports extracted to a .csv file. The data was extracted during a joint project between MoHP, WHO Country Office Nepal, WHO South East Asia Regional Office, Polytechnique Montréal, University of Amsterdam, and Karlsruhe Institute of Technology. </span></p>
MHC Motif Atlas CSV
<p>CSV Format of MHC Motif Atlas data taken from <a href="http://mhcmotifatlas.org/home">http://mhcmotifatlas.org/home</a></p>
FRidge GA13 Organic Ligands CSV data
<p>Competitive Ligand Exchange-Adsorptive Cathodic Stripping Voltammetry samples from 11 sites along the Mid-Atlantic Ridge. Samples were collected as part of the 2017-18 FRidge (GA 13) research expedition on board the RSS James Cook.</p>
Lithium Pollution of White Dwarfs and Other Secrets of MORDOR (CSV File of MORDOR Survey Objects)
<p>CSV file containing the Gaia DR2 data for the MORDOR Survey from Benjamin C. Kaiser's Ph.D. Dissertation. It also contains the spectral types and SED types that were identified.</p> <p>If you use this data please cite my dissertation, which should be accessible via the UNC Chapel Hill Library in some way. You should probably also cite Gaia DR2 if you use anything other than my spectral types pretty much because all the rest of the data is from Gaia DR2.</p>
Datalog subsetting input files (Wikidata 2015 NTriple-to-CSV dump)
<p>This is a Wikidata 2015 NTriple dump in which the delimiter is changed to ','. The file is used in subsetting experiment via <a href="https://github.com/seyedahbr/radlog">Radlog</a>.</p>
Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files
<p>Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files</p>
MatKG csv Dataset
<p>This is the dataset for MatKG, the largest Knowledge Graph in the field of Material Science that is extracted from Scientific Literature. The dataset identifies some 200,000 concepts and 6.5 million relations between materials, their properties, applications, characterization methods, descriptors, synthesis methods, and symmetry labels expressed as a graph database. </p> <p>The subject_REL_object file contains the main list of entities and their relationships expressed as triple in the form [subject, rel, obj] with a 'count' paramater that is a measure of the relevance in the relation. </p> <p>The rawEntity_NER_DOI dataset gives the raw entities as extracted from the text along with their NER Tag and the DOI from which it was extracted. </p> <p>The rawEntity_Clean1_Clean2_Clean3_file gives the different cleaned version of the initially extracted raw text. </p> <p>An initial preprint of the data is available here: https://arxiv.org/abs/2210.17340</p> <p> </p>
CNF and CSV files for Lalonde dataset
<p>To facilitate reproducibility for the experiments of efficient inference with decision diagram paper, all CNF vars and CSV files are made available for the Lalonde dataset (they are too big for GitHub)</p>
ECMDB2.0 MetFrag Local CSV
<p>This is a local CSV file of ECMDB 2.0 (<a href="http://ecmdb.ca/">http://ecmdb.ca/</a>) for MetFrag (<a href="https://msbi.ipb-halle.de/MetFrag/">https://msbi.ipb-halle.de/MetFrag/</a>).</p> <p>Data was extracted to CSV from the SDF, with column headers for compulsory fields adjusted to fit the MetFrag format.</p> <p>This file is for users wanting to integrate the latest ECMDB into MetFrag CL workflows (offline), this file will be integrated into MetFrag online; please use the file in the dropdown menu rather than uploading this one.</p> <p>The ECMDB is an expertly curated database containing extensive metabolomic data and metabolic pathway diagrams about <em>Escherichia coli</em> (strain K12, MG1655). This database includes significant quantities of “original” data compiled by members of the Wishart laboratory as well as additional material derived from hundreds of textbooks, scientific journals, metabolic reconstructions and other electronic databases.</p>
Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph
<p>These dataset contains the results of the interlinking process between selected csv datasets harvested by the European DAta Portal and the DBpedia knowledge graph. </p> <p>We aim at answering the following questions:<br> What are the more popular column types? This will provide hindsight about what the datasets hold and how they can be joined. It will also provide hindsight on what specific linking schemes could be applied in future elements.<br> What datasets have columns of the same type? This will suggest datasets that may be similar or related.<br> What entities appear in most datasets (co-referent entities)? This will suggest entities for which more data is published.<br> What datasets share a particular entity? This will suggest datasets that may be joined, or are related through that particular entity</p> <p>Results are provided as augmented tables, that contain the columns of the original csv, plus a metadata file in JSON-LD format. The metadata files can be loaded in an RDF-store and queried.</p> <p>Refer to the accompanying report of activities for more details on the methodolog and how to query the dataset.</p> <p><br> </p>
Existing well locations in Cebu and Mactan islands, Philippines (CSV format)
<p>This dataset consist of comma-separated values files containing the coordinate location of wells in Cebu and Mactan islands, Philippines expressed as points x (longitude) and y (latitude) in decimal degrees. The dataset is partitioned between a training and test subset at a proportion of 70% and 30%, respectively. The sources of the data were two government agencies tasked to manage the water resources in the Philippines. Shapefiles can be generated directly from the dataset using appropriate GIS software. </p>
CSO Networked Gas Consumption by Dublin Postal District for Residential & Non-Residential Sector 2011-2019 in Parquet & CSV Form
<p>Metered network gas data on a Dublin postal district level from 2010-2019, translated from a HTML to parquet files. </p> <p>Original dataset can be found at https://www.cso.ie/en/releasesandpublications/er/ngc/networkedgasconsumption2019/ </p>
Eclipse2017 17-hour CSV quadrature, in-phase WWVB carrier in one-second increments
<p>Boxcar-integrated I&Q data sets of WWVB (60 kHz) received with magnetic loop antenna at 43.21N, 79.89W (Hamilton, ON). Three data files start at 09:00:00 UTC. on Aug 20, Aug 21, Aug 22, 2017. Each file spans seventeen hours.</p> <p>Each I&Q boxcar data point represents average WWVB carrier integrated over the one-second period starting with WWVB's BPSK phase-transition point, one-hundred milliseconds after start-of-second. The 60 kHz carrier downconverter oscillator is a Valpey-Fisher VF150 crystal oscillator which is free-running. Its phase and frequency vary with time and temperature. It is possible to determine WWVB's legacy AM timecodes from <span class="math-tex">\(amplitude = \sqrt{inphase^2+ quadrature^2}\)</span></p> <p>File format is CSV text compatible, quadrature delimited by ASCII space '0x20' from in-phase. Quadrature and In-phase data are signed decimal integers lying in all four phase quadrants.</p>
Test for Spondylus of the Americas Database- CSV
<p>The is a test of the storage of data collected using KoboToolbox form - https://ee.kobotoolbox.org/x/Mig5zlqC</p>
ETER - Full dataset (csv; March 26th, 2024)
<p>This dump includes</p> <ul> <li>the whole ETER dataset as of 26th of March 2024 (including data for the academic year 2021/2022),</li> <li>all corresponding metadata, and</li> <li>a file including all labels for variable names, and labels for special and variable codes.</li> </ul>
PEMS-BAY and METR-LA in csv
<p>PEMS-BAY and METR-LA dataset in csv</p> <pre><code>@inproceedings{li2018dcrnn_traffic, title={Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting}, author={Li, Yaguang and Yu, Rose and Shahabi, Cyrus and Liu, Yan}, booktitle={International Conference on Learning Representations (ICLR '18)}, year={2018} }</code></pre>
GitTables 1M - CSV files
<p><strong>This dataset contains >800K CSV files behind the GitTables 1M corpus.</strong></p> <p>For more information about the GitTables corpus, visit:</p> <p>- our <a href="https://gittables.github.io">website for GitTables</a>, or</p> <p>- the <a href="http://zenodo.org/record/6517052">main GitTables download page on Zenodo</a>.</p>
CSV IceBridge topography data from Petty et al., 2016, TC.
<p>CSV versions of the 20 cm threshold ridge height data hosted at https://zenodo.org/record/51569 which were stored as Python 2 pickle files. This caused issues as they are not simply loadable with Python 3. Alternatively, to read the Python 2 pickle files you can use the following: https://rebeccabilbro.github.io/convert-py2-pickles-to-py3/</p> <p>Original data used to assess Arctic sea ice topography using high-resolution IceBridge laser (ATM) data, from the following publication:</p> <p>Petty, A. A., M. C. Tsamados, N. T. Kurtz, S. L. Farrell, T. Newman, J. Harbeck, D. L. Feltham, J. A. Richter-Menge (2016), Characterizing Arctic sea ice topography using high-resolution IceBridge data, The Cryosphere, doi:10.5194/tcd-9-6495-2015.</p> <p>More information can be found at https://github.com/akpetty/ibtopo2016</p>
Exemplar Output to demonstrate FAIR Projection from a CSV file
<p>This is 1000 lines of sample data from UniProt that I will use to demonstrate the ability of FAIR Projection to dynamically project it out as RDF triples</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.