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zenodo40/100

Data for [Inverse magnetic susceptibility fabrics in pelagic sediment: Implications for magnetofossil abundance and alignment]

<p>Data for [Inverse magnetic susceptibility fabrics in pelagic sediment: Implications for magnetofossil abundance and alignment]</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

Shaping photovoltaic array output to align with changing wholesale electricity price profiles

<p>This&nbsp;repository includes python scripts and input/output data associated with the following publication:</p> <p>[1] Brown, P.R.; O&#39;Sullivan, F. &quot;Shaping photovoltaic array output to align with changing wholesale electricity price profiles.&quot; Applied Energy 2019. <a href="http://doi.org/10.1016/j.apenergy.2019.113734">https://doi.org/10.1016/j.apenergy.2019.113734</a></p> <p>Please cite reference [1] for full documentation if the contents of this repository are used for subsequent work.</p> <p>Some of the scripts and data are also used in the following working paper:</p> <p>[2] Brown, P.R.; O&#39;Sullivan, F. &quot;Spatial and temporal variation in the value of solar power across United States electricity markets&quot;. Working Paper, MIT Center for Energy and Environmental Policy Research. 2019. <a href="http://ceepr.mit.edu/publications/working-papers/705">http://ceepr.mit.edu/publications/working-papers/705</a></p> <p>All code is in python 3 and relies on a number of dependencies that can be installed using pip or conda.</p> <p><strong>Contents</strong></p> <ul> <li>pvvm.zip&nbsp;: Python module with functions for modeling PV generation, calculating PV revenues and capacity factors, and optimizing PV orientation.</li> <li>notebooks.zip : Jupyter notebooks, including: <ul> <li>pvvm-pvtos-data.ipynb: Example scripts used to download and clean input LMP data, determine LMP node locations, and reproduce some figures in reference [1]</li> <li>pvvm-pvtos-analysis.ipynb: Example scripts used to perform the calculations and reproduce some figures in reference [1]</li> <li>pvvm-pvtos-plots.ipynb: Scripts used to produce additional figures in reference [1]</li> <li>pvvm-example-generation.ipynb: Example scripts demonstrating the usage of the PV generation model and orientation optimization</li> </ul> </li> <li>html.zip : Static images of the above Jupyter notebooks for viewing without a python kernel</li> <li>data.zip : Day-ahead and real-time nodal locational marginal prices (LMPs) for CAISO, ERCOT, MISO, NYISO, and ISONE. <ul> <li>At the time of publication of this repository, permission had not been received from PJM to republish their LMP data. If permission is received in the future, a new version of this repository will linked here with the complete dataset.</li> </ul> </li> <li>results.zip : Simulation results associated with reference [1] above, including modeled revenue, capacity factor, and optimized orientations for PV systems at all LMP nodes</li> </ul> <p><strong>Data terms and usage notes</strong></p> <ul> <li>ISO LMP data are used with permission from the different ISOs. Adapting the MIT License (<a href="http://opensource.org/licenses/MIT">https://opensource.org/licenses/MIT</a>), &quot;The data are provided &#39;as is&#39;, without warranty of any kind, express or implied, including but not limited to the warranties of merchantibility, fitness for a particular purpose and noninfringement. In no event shall the authors or sources be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the data or other dealings with the data.&quot; Copyright and usage permissions for the LMP data are available on the ISO websites, linked below.</li> <li>ISO-specific notes: <ul> <li>CAISO data from <a href="http://oasis.caiso.com/mrioasis/logon.do">http://oasis.caiso.com/mrioasis/logon.do</a> are used pursuant to the terms at <a href="http://www.caiso.com/Pages/PrivacyPolicy.aspx#TermsOfUse">http://www.caiso.com/Pages/PrivacyPolicy.aspx#TermsOfUse</a>.</li> <li>ERCOT data are from <a href="http://www.ercot.com/mktinfo/prices">http://www.ercot.com/mktinfo/prices</a>.</li> <li>MISO data are from <a href="http://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/">https://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/</a> and <a href="https://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/market-report-archives/">https://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/market-report-archives/</a>.</li> <li>PJM data were originally downloaded from <a href="https://www.pjm.com/markets-and-operations/energy/day-ahead/lmpda.aspx">https://www.pjm.com/markets-and-operations/energy/day-ahead/lmpda.aspx</a> and <a href="https://www.pjm.com/markets-and-operations/energy/real-time/lmp.aspx">https://www.pjm.com/markets-and-operations/energy/real-time/lmp.aspx</a>. At the time of this writing these data are currently hosted at <a href="https://dataminer2.pjm.com/feed/da_hrl_lmps">https://dataminer2.pjm.com/feed/da_hrl_lmps</a> and <a href="https://dataminer2.pjm.com/feed/rt_hrl_lmps">https://dataminer2.pjm.com/feed/rt_hrl_lmps</a>.</li> <li>NYISO data from <a href="http://mis.nyiso.com/public/">http://mis.nyiso.com/public/</a> are used subject to the disclaimer at <a href="https://www.nyiso.com/legal-notice">https://www.nyiso.com/legal-notice</a>.</li> <li>ISONE data are from <a href="https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-da-hourly">https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-da-hourly</a> and <a href="https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-rt-hourly-final">https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-rt-hourly-final</a>. The Material is provided on an &quot;as is&quot; basis. ISO New England Inc., to the fullest extent permitted by law, disclaims all warranties, either express or implied, statutory or otherwise, including but not limited to the implied warranties of merchantability, non-infringement of third parties&#39; rights, and fitness for particular purpose. Without limiting the foregoing, ISO New England Inc. makes no representations or warranties about the accuracy, reliability, completeness, date, or timeliness of the Material. ISO New England Inc. shall have no liability to you, your employer or any other third party based on your use of or reliance on the Material.</li> </ul> </li> <li>Data workup: LMP data were downloaded directly from the ISOs using scripts similar to the pvvm.data.download_lmps() function (see below for caveats), then repackaged into single-node single-year files using the pvvm.data.nodalize() function. These single-node single-year files were then combined into the dataframes included in this repository, using the procedure shown in the pvvm-pvtos-data.ipynb notebook for MISO. We provide these yearly dataframes, rather than the long-form data, to minimize file size and number. These dataframes can be unpacked into the single-node files used in the analysis using the pvvm.data.copylmps() function.</li> </ul> <p><strong>Code license and usage notes</strong></p> <ul> <li>Code (*.py and *.ipynb files) is provided under the <a href="https://opensource.org/licenses/MIT">MIT License</a>, as specified in the pvvm/LICENSE file.</li> <li>Updates to the code, if any, will be posted in the non-static repository at&nbsp;<a href="https://github.com/patrickbrown4/pvvm_pvtos">https://github.com/patrickbrown4/pvvm_pvtos</a>.&nbsp; The code in the present repository has the following version-specific dependencies: <ul> <li>matplotlib: 3.0.3</li> <li>numpy: 1.16.2</li> <li>pandas: 0.24.2</li> <li>pvlib: 0.6.1</li> <li>scipy: 1.2.1</li> <li>tqdm: 4.31.1</li> </ul> </li> <li>To use the NSRDB download functions,&nbsp;modify the &quot;settings.py&quot; file to insert a valid NSRDB API key, which can be requested from <a href="https://developer.nrel.gov/signup/">https://developer.nrel.gov/signup/</a>. Locations can be specified by passing latitude, longitude floats to pvvm.data.downloadNSRDBfile(), or by passing a string googlemaps query to pvvm.io.queryNSRDBfile(). To use the googlemaps functionality,&nbsp;request a googlemaps API key (<a href="https://developers.google.com/maps/documentation/javascript/get-api-key">https://developers.google.com/maps/documentation/javascript/get-api-key</a>) and insert it in the &quot;settings.py&quot; file.</li> <li>Note that many of the ISO websites have changed in the time since the functions in the pvvm.data module were written and the LMP data used in the above papers were downloaded. As such, the&nbsp;pvvm.data.download_lmps() function&nbsp;no longer works for all ISOs and years. We provide this function&nbsp;to illustrate the general procedure used, and do not intend to maintain it or keep it up to date with the changing ISO websites. For up-to-date functions for accessing ISO data, the following repository (no connection to the present work) may be helpful: <a href="https://github.com/catalyst-cooperative/pudl">https://github.com/catalyst-cooperative/pudl</a>.</li> </ul>

openother-openSep 2019View details →
zenodo40/100

A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music

<p>Dataset accompanying the paper published at ISMIR 2019.</p> <p>See included README file for details.</p>

opencc-by-nc-sa-4.0Oct 2019View details →
zenodo40/100

Dividing the Ontology Alignment Task

<p>Large ontologies still pose serious challenges to state of the art ontology alignment systems. In the paper we present an approach that combines a lexical index, a neural embedding model and locality modules to effectively segment an input ontology matching task into smaller and more tractable (sub)matching tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed methods are adequate in practice and can be integrated within the workflow of state of the art systems.</p>

opencc-by-4.0Apr 2018View details →
zenodo40/100

Text-fig. 5. Multiple sequence alignment of mtDNA from ancient bone and recent greyhound, (Gundry et al. 2007) primer pair A – F15.719 and R16.114. in Genetic Analysis Of Possibly The Oldest Greyhound Remains Within The Territory Of The Czech Republic As Proof Of A Local Elite Presence At Chotěbuz-Podobora Hillfort In The 8 -9 Century Ad

Text-fig. 5. Multiple sequence alignment of mtDNA from ancient bone and recent greyhound, (Gundry et al. 2007) primer pair A – F15.719 and R16.114.

opencc-by-4.0Oct 2015View details →
zenodo40/100

Fig. 4 in Double alignments of ammonoid aptychi from the Lower Cretaceous of Southeast France: Result of a post-mortem transport or bromalites?

Fig. 4. Mid−Valanginian aptychi in isolation. A. Single aptychus (one of the pair of plate), FSL 710901, Vergol section, layer 22 (Fig. 2B), Saynoceras verrucosum Zone, Subzone, and Horizon. B. Bivalved aptychi (paired structure), FSL 710902, Vergol section, layer 55 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon.

opencc-by-4.0Jun 2008View details →
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Fig. 6 in Double alignments of ammonoid aptychi from the Lower Cretaceous of Southeast France: Result of a post-mortem transport or bromalites?

Fig. 6. Mid−Valanginian aptychi in alignments. A. FSL 710907, Vergol section, layer 51 (Fig. 2B), Saynoceras verrucosum Zone, Subzone, and Horizon. B. FSL 710908, Vergol section, layer 15 (Fig. 2B), Busnardoites campylotoxus Zone, Karakaschiceras biassalense Subzone and Neocomites platycostatus Horizon. C. FSL 710909, Vergol section, layer 17 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon. D. FSL 710912, Vergol section, layer 51 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon. E. FSL 710911, Vergol section, layer 47 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon. F. FSL 710910, Vergol section, layer 17 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon (the bivalve is indicated by an arrowhead). Scale bars 10 mm.

opencc-by-4.0Jun 2008View details →
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Fig. 1. A in Double alignments of ammonoid aptychi from the Lower Cretaceous of Southeast France: Result of a post-mortem transport or bromalites?

Fig. 1. A. Location map of the Vergol (Drôme) section. B. Palaeogeographical map of the Vocontian Basin (Southeast France; Lower Cretaceous), modified from Ferry (1991).

opencc-by-4.0Jun 2008View details →
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Fig. 5 in Double alignments of ammonoid aptychi from the Lower Cretaceous of Southeast France: Result of a post-mortem transport or bromalites?

Fig. 5. Mid−Valanginian aptychi in alignments. A. FSL 710903, Vergol section, layer 17 (Fig. 2B), Saynoceras verrucosum Zone, Subzone, and Horizon. B. FSL 710904, Vergol section, layer 16 (Fig. 2B), Busnardoites campylotoxus Zone, Karakaschiceras biassalense Subzone, and Neocomites platycostatus Horizon. C. FSL 710905, Vergol section, layer 41 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon. D. FSL 710906, Vergol section, layer 43 (Fig. 2B), S. verrucosum Zone, Subzone, and Horizon. Scale bars 10 mm.

opencc-by-4.0Jun 2008View details →
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Fig. 3 in Double alignments of ammonoid aptychi from the Lower Cretaceous of Southeast France: Result of a post-mortem transport or bromalites?

Fig. 3. Morphological nomenclature of aptychi. Redrawn and partially modified from Arkell (1957) and Farinacci et al. (1976).

opencc-by-4.0Jun 2008View details →
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UNIC JSON template for uploading the individual files of aligned corpus data

<p>A ZIP of JSON files is needed to upload aligned corpus data to UNIC, with each file structured as the template. Please reach out to unic@dipintra.it for assistance.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

UNIC Templates for alignment files v1.1

<p>The UNIC platform (https://unic.dipintra.it) accepts a ZIP of JSON files for uploading corpus alignments based on the JSON template here. Alternatively, use the spreadsheet template to structure the corpus alignment files and convert the resulting .xlsx files to a ZIP of JSON files using this application at https://huggingface.co/spaces/nannanliu/UNIC_alignment_conversion.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
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WordNet–Wikipedia–Wiktionary alignment

<p>This distribution contains the three-way alignments between WordNet 3.0, the English edition of Wikipedia, and the English edition of Wiktionary, as described in the LREC 2014 paper by Tristan Miller and Iryna Gurevych (see below).</p> <p><strong>Format</strong></p> <p>Here you will find two tab-delimited text files, <code>alignment_3way.tsv</code> and <code>alignment_3way_conjoint.tsv</code>. The first of these contains the full alignment of WordNet, Wikipedia, and Wiktionary, except for the unaligned singleton senses. The second file contains the conjoint alignment of WordNet, Wikipedia, and Wiktionary.</p> <p>The format of both files is the same: each line consists of a tab-delimited list of &ldquo;sense&rdquo; identifiers which refer to the same concept. Identifiers for Wiktionary are prefixed with a <code>#</code> character, and take the form of the unique sense identifier generated by the <a href="https://dkpro.github.io/dkpro-jwktl/">JWKTL library</a> for a 3 April 2010 dump of the English edition of Wiktionary. Identifiers for Wikipedia are prefixed with a <code>%</code> character, and take the form of the article title (with underscores replacing spaces) as found in a 22 August 2009 snapshot of the English edition of Wikipedia. Identifiers for WordNet are prefixed with a <code>=</code> character and take the form of a synset offset, followed by a hyphen (<code>-</code>), followed by a part of speech label (<code>a</code>, <code>n</code>, <code>r</code>, or <code>v</code>, for adjectives, nouns, adverbs, and verbs, respectively).</p> <p><strong>Citing this resource</strong></p> <p>If you use this resource in your own work, please cite the following paper:</p> <p>Tristan Miller and Iryna Gurevych. <a href="http://www.lrec-conf.org/proceedings/lrec2014/pdf/4_Paper.pdf">WordNet&ndash;Wikipedia&ndash;Wiktionary: Construction of a three-way alignment</a>. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asunci&oacute;n Moreno, Jan Odijk, and Stelios Piperidis, editors, <em>Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014)</em>, pages 2094&ndash;2100. European Language Resources Association, May 2014. ISBN 978-2-9517408-8-4.</p> <p>You can use the following BibTeX entry:</p> <pre>@inproceedings{miller2014wordnet, author = {Tristan Miller and Iryna Gurevych}, title = {{WordNet}--{Wikipedia}--{Wiktionary}: Construction of a Three-way Alignment}, booktitle = {Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014)}, year = 2014, editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asunci{\&#39;{o}}n Moreno and Jan Odijk and Stelios Piperidis}, pages = {2094--2100}, month = may, publisher = {European Language Resources Association}, pdf = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/4_Paper.pdf}, isbn = {978-2-9517408-8-4}, }</pre>

opencc-by-4.0Mar 2014View details →
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Fig. 5 in Total Evidence, Sequence Alignment, Evolution of Polychrotid Lizards, and a Reclassification of the Iguania (Squamata: Iguania)

Fig. 5. The same consensus as shown in figure 4, with stems and taxa identified for ready comparison with evolutionary changes presented in appendix 4 (change list). Stems 5, 6, 16, 20, 23, 24 represent alternative relationships not rejected by the data.

opencc-by-4.0Jun 2001View details →
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Fig. 3. Sensitivity analysis graphic. Y in Total Evidence, Sequence Alignment, Evolution of Polychrotid Lizards, and a Reclassification of the Iguania (Squamata: Iguania)

Fig. 3. Sensitivity analysis graphic. Y­axis represents the logarithm of the ratio of transversion: transition weights. The x­axis represents the logarithm of the ratio of the indel cost versus the maximal cost of a molecular change. The colors represent the z­axis, which is congruence between the molecular and morphological data partitions. Red is good, blue is bad.

opencc-by-4.0Jun 2001View details →
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Fig. 2 in Total Evidence, Sequence Alignment, Evolution of Polychrotid Lizards, and a Reclassification of the Iguania (Squamata: Iguania)

Fig. 2. Strict consensus of 192 equally parsimonious trees based on morphology alone (length = 276; CI = 0.443; RI = 0.74). Numbers on branches are Bremer values.

opencc-by-4.0Jun 2001View details →
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Fig. 6 in Total Evidence, Sequence Alignment, Evolution of Polychrotid Lizards, and a Reclassification of the Iguania (Squamata: Iguania)

Fig. 6. Phylogenetic hypotheses for the Polychrotidae of Etheridge and de Queiroz (1988), and Frost and Etheridge (1989). Circles represent hypothesized rooting points.

opencc-by-4.0Jun 2001View details →
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Fig. 1 in Total Evidence, Sequence Alignment, Evolution of Polychrotid Lizards, and a Reclassification of the Iguania (Squamata: Iguania)

Fig. 1. Single tree obtained on molecular­only data (length = 2332; CI = 0.23; RI = 0.68). Numbers on branches are Bremer values.

opencc-by-4.0Jun 2001View details →
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Text-fig. 28. Scanning electron microscope (SEM) images of monocolpate pollen of Goczania inaequalis sp. nov.; Torres Vedras locality, Portugal. a) Holotype; stamen fragment that yielded the pollen in (b–f, k); b) Group of pollen grains showing distal and proximal surfaces and inner surface of anther wall with densely spaced orbicules; c) Inner surface of anther wall showing small, spherical orbicules with microechinate sculpturing; d, e, j–l) Pollen grains in distal and equatorial view (k) showing the long colpus with an irregular margin flanked by narrow bands of poorly differentiated microechinate; note that colpus is aligned perpendicular to the longest axes in elliptical grains and that the pollen wall is almost psilate around the equator and in the distal in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community

Text-fig. 28. Scanning electron microscope (SEM) images of monocolpate pollen of Goczania inaequalis sp. nov.; Torres Vedras locality, Portugal. a) Holotype; stamen fragment that yielded the pollen in (b–f, k); b) Group of pollen grains showing distal and proximal surfaces and inner surface of anther wall with densely spaced orbicules; c) Inner surface of anther wall showing small, spherical orbicules with microechinate sculpturing; d, e, j–l) Pollen grains in distal and equatorial view (k) showing the long colpus with an irregular margin flanked by narrow bands of poorly differentiated microechinate; note that colpus is aligned perpendicular to the longest axes in elliptical grains and that the pollen wall is almost psilate around the equator and in the distal

opencc-by-4.0Nov 2019View details →
zenodo40/100

Escherichia coli DNA replication study: processed alignment data

<p>Genomes are replicated by large protein complexes called replisomes. In bacterial DNA replication, two replisomes replicate the DNA starting from the same origin site and proceeding in opposite directions. Understanding their movement in vivo has been challenging. We used quantitative genome sequencing to characterize the dynamics of bacterial replisomes at 5 different temperatures (17, 22, 27, 32 and 37 &deg;C) in exponential growth (3 replicates) or in stationary phase (one experiment at 17, 27 and 37 &deg;C).</p> <p>The data deposited here give the coordinates of the sequence reads (deposited under the BioProject PRJNA772106) covering the Escherichia coli str. K-12 substr. MG1655 complete genome (accession number U00096.3).</p> <p>The file archive contains data files for each sample, at nucleotide resolution and binned in intervals of 10,000 base pairs. It also contains a C program to perform the binning and a README summarising how the alignment was done. <em>Please note that once uncompressed, the data will take 5 Gb of disks space in total.</em></p>

opencc-zeroOct 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record