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Dataset results
359 results for “hubs”
ThoughtSource: A central hub for large language model reasoning data (code snapshot)
<p><strong>ThoughtSource is a meta-dataset and software library for chain-of-thought reasoning in large language models (LLMs). This repository contains a snapshot of the associated GitHub repository.</strong></p>
Resting-state fMRI data for locating causal hubs of memory consolidation in spontaneous brain network
<p>The mouse fMRI data for the paper "<strong>Locating causal hubs of memory consolidation in spontaneous brain network in male mice</strong>"<strong> </strong>published in <strong>Nature Communications </strong>(DOI: 10.1038/s41467-023-41024-z)<strong>. </strong>This includes longitudinal resting-state fMRI data in mice after behavioural training for 1-Day or 5-Day Active Place Avoidance (APA) task, acquired at post-training day 1 and day 8. Due to the large datasets, each group has been packed into several 2GB zip files. They need to be downloaded into the same folder and unpacked together (e.g. 1-Day APA Post training day 1 has five zip files starting with "1DAPA_PostDay1"). The structural and EPI templates and the ROI labels in the AMBMC atlas space are provided in the AMBMC_label.zip. </p>
Home and hub: pet trade and traditional medicine impact reptile populations in source locations and destinations
Open the record for dataset details and reuse information.
Community Docker Hub images and the third-party (JavaScript, Python and Ruby) packages installed in them
<p>This dataset comes with the replication package provided for a study that we carried out on third-party JavaScript, Python and Ruby packages installed in DockerHub images.</p> <p>The replication package can be found in: <a href="https://github.com/neglectos/3dPartyPackages_Docker">https://github.com/neglectos/3dPartyPackages_Docker</a>/</p>
Data from: The inner junction complex of the cilia is an interaction hub that involves tubulin post-translational modifications
<p></p><p>Microtubules are cytoskeletal structures involved in stability, transport and organization in the cell. The building blocks, the α- and β-tubulin heterodimers, form protofilaments that associate laterally into the hollow microtubule. Microtubule also exists as highly stable doublet microtubules in the cilia where stability is needed for ciliary beating and function. The doublet microtubule maintains its stability through interactions at its inner and outer junctions where its A- and B-tubules meet. Here, using cryo-electron microscopy, bioinformatics and mass spectrometry of the doublets of Chlamydomonas reinhardtii and Tetrahymena thermophila, we identified two new inner junction proteins, FAP276 and FAP106, and an inner junction-associated protein, FAP126, thus presenting the complete answer to the inner junction identity and localization. Our structural study of the doublets shows that the inner junction serves as an interaction hub that involves tubulin post-translational modifications. These interactions contribute to the stability of the doublet and hence, normal ciliary motility.</p><p></p>
Data and Scripts for Looking into Pandora's Box: The Content of Sci-Hub and its Usage
<p>The data and scripts used in <em>Looking into Pandora's Box: The Content of Sci-Hub and its Usage.</em> See README.md for details.</p>
Hurricane Propellor Hub
A propellor hub from a World War 2 Hurricane V7497 aircraft that is now located in the Battle of Britain Bunker Visitor Centre, Uxbridge. The Hurricane flew in the Battle of Britain and was shot down over Deale, Kent in September 1940. 122 photos taken in August 2021 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Ent1-mNeonGreen and Abp1-mTq TIRF Raw data from "Sla2 is a core interaction hub for Clathrin Light Chain and the Pan1/End3/Sla1 Complex"
<p>This dataset is raw TIRF movies (as ND2 files) of data shown in Figure 4e of the manuscript "Sla2 is a core interaction hub for Clathrin Light Chain and the Pan1/End3/Sla1 Complex" in BioXiv (https://doi.org/10.1101/2024.11.14.623549) </p> <p><br>In this repository, you will find 20 different movies taken over two microscopy sessions for Ent1-mNeonGreen/Abp1-mTurquoise2 for yeast cells expressing Sla2-WT and two different mutants (called Site1 and Site2 mutants). </p> <p><br>How is it called in the repository / In the manuscript<br>Sla2-WT - Sla2 - WT<br>Sla2-dYYR - Sla2 - ΔSite2<br>Sla2-d515 - Sla2 - ΔSite1</p> <p>Data relating to experimental conditions can be found in https://doi.org/10.1101/2024.11.14.623549</p>
DEEP-DV hub
<p>DEEP-DV metadata hub on DNA virus sequencing data in GEO and SRA</p>
Sci-Hub download log 2011-2013
<p>The included file ancient.sci-hub.stats.tab contains raw unprocessed PDF download log from Sci-Hub starting from 22 September 2011 and ending on 14 October 2013. Statistics from 14 October to 18 Jan 2014 were not recorded for technical reasons. Statistics before 22 September were not collected.</p> <p>Columns in the data file:</p> <ol> <li>Timestamp (yyyy-MM-dd HH:mm:ss)</li> <li>DOI</li> <li>URL</li> <li>IP address</li> <li>User identifier</li> <li>Country</li> </ol> <p>originally published at:<br> https://web.archive.org/web/20200702074701/https://twitter.com/Sci_Hub/status/1221827163781058562</p>
A synaptomic analysis reveals dopamine hub synapses in the mouse striatum : Source Data
<p>Source data for our study on dopamine hub synapses</p> <p>Dopamine transmission is involved in reward processing and motor control, and its impairment plays a central role in numerous neurological disorders. Despite its strong pathophysiological relevance, the molecular and structural organization of the dopaminergic synapse remains to be established. Here, we used targeted labelling and fluorescence activated sorting to purify striatal dopaminergic synaptosomes. We provide the proteome of dopaminergic synapses with 57 proteins specifically enriched. Beyond canonical markers of dopamine neurotransmission such as dopamine biosynthetic enzymes and cognate receptors, we validated 6 proteins not previously described as enriched (Cpne7, Apba1/Mint1, Cadps2, Cadm2/SynCAM 2, Stx4, Mgll). Moreover, our data reveal the adhesion of dopaminergic synapses to glutamatergic, GABAergic or cholinergic synapses in structures we named “dopamine hub synapses”. At glutamatergic synapses, pre- and postsynaptic markers are significantly increased upon association with dopamine synapses. Dopamine hub synapses may thus support local dopaminergic signalling, complementing volume transmission thought to be the major mechanism by which monoamines modulate network activity.</p>
Museum Themed Mozilla Hubs Space
A museum themed meeting place with some handy sub-rooms for more secluded VR chats. Source: Objaverse 1.0 / Sketchfab
Long-term wastewater monitoring of SARS-CoV-2 viral loads and variants at the major international passenger hub Amsterdam Schiphol Airport: a valuable addition to COVID-19 surveillance
<p>Datasets used for the manuscript: <em>Long-term wastewater monitoring of SARS-CoV-2 viral loads and variants at the major international passenger hub Amsterdam Schiphol Airport: a valuable addition to COVID-19 surveillance</em></p> <p><em>pandemic_daily_passenger_counts.tsv</em>: An overview of daily passenger arrival counts at Amsterdam Schiphol Airport per continent of origin during the study period 16-02-2020 - 04-09-2022</p> <p><em>pre-pandemic_daily_passenger_averages.tsv: </em>An overview of mean daily passenger arrival counts at Amsterdam Schiphol Airport in the pre-pandemic period 2017-2019.</p> <p><em>viral_load_data.tsv: </em>Sample metadata (sample identifier, sampling date, flow, average # particles per ml, and flow-corrected viral-load) for samples taken at the wastewater treatment plant of Amsterdam Schiphol Airport.</p> <p><em>wastewater_variant_frequencies.tsv: </em>SARS-CoV-2 lineage estimates in samples taken at the wastewater treatment plant of Amsterdam Schiphol Airport, analyzed using whole-genome tiled amplicon sequencing.</p> <p> </p> <p> </p> <p> </p>
Climate Hazards Data Integration and Visualization for the Climate Adaptations Solutions Accelerator through School-Community Hubs
<p><strong>Community engagement in planning is essential for effective and just climate adaptation. However, historically underserved communities are often difficult to reach through traditional means of soliciting public input. The Climate Adaptation Solutions Accelerator (CASA) through School-Community Hubs project identifies public schools as promising sites for building both community engagement and community capacity for climate adaptation. To serve in this role, schools need information about the intersecting threats climate change poses to the communities they serve. The Climate Hazard Dashboard for California Schools is a platform that maps the current and future risks associated with five climate hazards, including wildfire, extreme heat days, wildfire extreme precipitation, flooding, and sea level rise, for the nearly 10,000 public schools serving Kindergarten through Grade 12 students in California. Each hazard is mapped and visualized at the school level, providing an accessible way for administrators, teachers, students, and neighborhoods to explore data reflecting the climate hazards they face, at a scale relevant to their communities. The dashboard also provides an aggregate summary hazard metric. </strong></p>
CLDF dataset derived from Chin's "Gelong Language in the Multilingual Hub of Hainan" from 2015
<p>Cite the source of the dataset as:</p> <blockquote> <p>Chin, Andy C. (2015): The Gelong Language in the Multilingual Hub of Hainan. Bulletin of Chinese Linguistics. 8. 140-156.</p> </blockquote>
Sci-Hub 2017 downloads: additional rows for "10.1016/j" DOIs
<p>Copied from https://twitter.com/Sci_Hub/status/996925449577037824 : «update to 2017 download stats: it turned out that all DOI starting from '10.1016/j' pattern were marked as erroneous and were filtered out by exporter script. that happened by mistake. here the all missed downloads»</p>
Sci-Hub downloads from Germany
<p>This dataset contains Sci-Hub downloads from Germany from September 2015 to February 2016 and January 2017 to December 2017, split by month. It comprises filtered data from publicly available datasets, including missing data that was provided by Sci-Hub in May 2018. [1] [2] [3]</p> <p>The ZIP-file contains 18 files of max. 25.5 MB.</p> <p> </p> <p>Column 1: date and time (YYYY-MM-DD hh:mm:ss)</p> <p>Column 2: DOI</p> <p>Column 3: City</p> <p> </p> <p> </p> <p>Dieser Datensatz enthält Sci-Hub Downloads aus Deutschland über den Zeitraum von September 2015 bis Februar 2016 und von Januar 2017 bis Dezember 2017, geteilt nach Monaten. Der Datensatz besteht aus gefilterten Daten von mehreren öffentlich zugänglichen Datensätzen, darunter fehlende Daten aus dem Jahr 2017, die von Sci-Hub im Mai 2018 nachgereicht wurden. [1] [2] [3]</p> <p>Die ZIP-Datei enthält 18 Dateien von maximal 25,5 MB.</p> <p> </p> <p>Spalte 1: Datum und Uhrzeit (JJJJ-MM-TT hh:mm:ss)</p> <p>Spalte 2: DOI</p> <p>Spalte 3: Stadt</p> <p> </p> <p> </p> <p>[1] Bohannon, J., & Elbakyan, A. (2016). Data from: Who’s downloading pirated papers? Everyone [Data set]. Dryad Digital Repository. <a href="https://doi.org/10.5061/dryad.q447c">https://doi.org/10.5061/dryad.q447c</a></p> <p>[2] Tzovaras, B. G. (2018). Sci-Hub Download Log Of 2017 [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.1158301">https://doi.org/10.5281/zenodo.1158301</a></p> <p>[3] https://twitter.com/Sci_Hub/status/996925449577037824</p>
COMPUTING HUBS IN THE HIPPOCAMPUS AND CORTEX
<p><strong>Neural computation, which relies on the active storage and sharing of information, occurs within large neuron networks in the highly dynamic context of varying brain states. Whether such functions are performed by specific </strong><strong>sub</strong><strong>sets of neurons and whether they occur in specific dynamical regimes remain</strong><strong>s</strong><strong> poorly understood. Using high density recordings in the hippocampus, medial entorhinal and medial prefrontal cortex of the rat, we identify computing </strong><strong>sub</strong><strong>states, or </strong><strong>discrete </strong><strong>epochs, in which specific computing hub neurons perform well defined storage and sharing operations in a brain state-dependent manner. We retrieve a multiplicity of distinct computing </strong><strong>sub</strong><strong>states within each global brain state, such as REM and nonREM sleep. Half of recorded neurons act as computing hubs in at least one </strong><strong>sub</strong><strong>state, suggesting that functional roles are not firmly hardwired but dynamically reassigned at the second timescale. We identify sequences of </strong><strong>sub</strong><strong>states whose temporal organization is dynamic and stands between order and disorder. We propose that global brain states constrain the language of neuronal computations by regulating the syntactic complexity of these </strong><strong>sub</strong><strong>state sequences.</strong></p>
GalSim-Hub Generative Model of COSMOS images
<p>This dataset contains trained weights for the generative model of COSMOS galaxies described in (Lanusse et al. 2020, https://arxiv.org/abs/2008.03833).</p> <p>It is meant to be used through the GalSim Hub library (https://github.com/McWilliamsCenter/galsim_hub), and accessed as:</p> <pre><code class="language-python">import galsim import galsim_hub from astropy.table import Table # Load a generative model from the online repository model = galsim_hub.GenerativeGalaxyModel('hub:Lanusse2020')</code></pre> <p> </p>
ThoughtSource: A central hub for large language model reasoning data (dataset snapshot)
<p><strong>ThoughtSource is a meta-dataset and software library for chain-of-thought reasoning in large language models (LLMs). </strong></p> <p><strong>This repository contains a snapshot of the openly available ThoughtSource datasets.</strong></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.