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1,298 results for “Archive”
Contemporary Composers Web Archive (CCWA) web archive collection derivatives
<p>Web archive derivatives of the <a href="https://archive-it.org/collections/4019">Contemporary Composers Web Archive (CCWA)</a> collection from the <a href="https://archive-it.org/home/IvyPlus">Ivy Plus Libraries Confederation</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>ivy-4019-parquet.tar.gz</strong> derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files<br> </li> </ul> <p>The <strong>ivy-4019-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>
Parti Québécois (PQ) web archive collection derivatives
<p>Web archive derivatives of the Parti Québécois (PQ) collection from the <a href="https://www.banq.qc.ca/accueil/">Bibliothèque et Archives nationales du Québec</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a>. Merci beaucoup BAnQ!</p> <p>These derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/parquet_pandas_example.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files</li> </ul>
Rare Book and Manuscript Library web archive collection derivatives
<p>Web archive derivatives of the <a href="https://archive-it.org/collections/2766">Rare Book and Manuscript Library</a> collection from <a href="https://archive-it.org/home/Columbia">Columbia University Libraries</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>cul-2766-parquet.tar.gz</strong> derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary Analysis</strong></a></p> <ul> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Word processor files<br> </li> </ul> <p>The <strong>cul-2766-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>
Burke Library New York City Religions web archive collection derivatives
<p>Web archive derivatives of the <a href="https://archive-it.org/collections/1945">Burke Library New York City Religions</a> collection from <a href="https://archive-it.org/home/Columbia">Columbia University Libraries</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>cul-1945-parquet.tar.gz</strong> derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary Analysis</strong></a></p> <ul> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files<br> </li> </ul> <p>The <strong>cul-1945-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>
Reproducibility archive for MeDIP analyses of plasma DNA from brain tumour patients.
<p>This contains the starting points, intermediate objects, and the code used to produce them that were used to generate the figures in the associated paper. For execution, please extract the contents of both the data and the markdowns/scripts folder into the same folder. </p>
Research data archive of the sperical shock experiment with Chelyabinsk meteorite
<p>This archive contains files with research data supplement to a publication "Experimental constrains on the mechanism and the amount of spectral shock darkening in ordinary chondrite materials during asteroid collisions" by Kohout et al. The experiment and material description and sample / zone numbering is consistent with the publication.</p> <p>Content:</p> <p>Chelyabinsk X-ray MicrtoTomography (XMT) dataset of half-sphere and steel jacket cropped.</p> <p>EMPA + Raman results.xlsx - data file with results of Electron Microprobe Analysis (EMPA) and Raman Spectroscopy</p> <p>EMPA BSE images.zip - archive with EMPA Back Scaterred Electrons (BSE) images and locations of EMPA points</p> <p>Full-sized version of the figures in the manuscript</p> <p>Reflectance UV-VIS-NIR-MIR all data.xlsx - data file with reflectance measurements</p> <p>XRD.zip - data file with X-ray diffraction measurement</p> <p>Zone IV SEM BSE images.zip - archive with high-resolution Scanning Electron Microscope (SEM) BSE images of the zone IV</p> <p>Zone IV SEM EDS element profiles and maps.zip - archive with SEM Energy Dispersive Spectroscopy (EDS) element profiles and maps (in detector counts) of the needle olivine crystals in the zone IV</p>
Archived data from Batziakas et al. 2020
<p>Flow cytometry, inverse microscope and image analysis plankton data, as well as the Normalized Biomass Size Spectra (NBSS) constructed from said data of the planktonic communities of Elefsina Bay and Aghios Kosmas (Saronikos Gulf, Greece) during winter (December 2012) and summer (September 2013) in two layers.</p> <p>Data are presented in Batziakas S., Frangoulis C., Tsiola A., Nikolioudakis N., Tsagaraki T. M. and Somarakis S. (2020). Hypoxia changes the shape of the biomass size spectrum of planktonic communities: A case study in the eastern Mediterranean (Elefsina Bay). <em>J. Plankton Res.</em>, <strong>42(6)</strong>, 752-766. (DOI: <a href="http://dx.doi.org/10.1093/plankt/fbaa055">10.1093/plankt/fbaa055</a>)</p>
Engineering Archive's first 1000 posted eprints
<p>The file 'EngineeringArchive_first1000eprints.zip' contains PDFs of the first 1000 eprints (files named using each submission's GUID) submitted to and hosted on Engineering Archive, the eprint server for engineering. The file 'engrxiv-papers.csv' is a listing of the metadata for these 1000 eprints. This represents a snapshot in time of the status of Engineering Archive (engrXiv) on 2020-05-26.</p> <p>The eprint PDFs are the copyrighted works of their respective authors and are licensed as indicated on the associated page on engrxiv.org.</p>
Concordance of Bodhgaya sculptures and Cunningham photographic archive
<p>Concordance of Bodhgaya sculptures published by A. K. Coomaraswamy and the photographs in the Cunningham archive held by the British Museum.</p>
Refraction Microtremor Vs(z) Profile Archive
<p>The PDF is a representation of a public website available at <a href="https://sites.google.com/view/vs-profile-archive">https://sites.google.com/view/vs-profile-archive</a></p> <p>The time-averaged seismic shear-wave velocity from the surface to 30 m (100 ft) depth, defined in the Building Code as Vs30, is in the United States one of the principal determinants of earthquake site-hazard classification. Over the past 20 years the Nevada Seismological Lab and the Applied Geophysics class at the University of Nevada, Reno; and Optim Earth have made shallow (<1 km deep) shear-wave velocity measurements at hundreds of sites in Nevada, California, and New Zealand using refraction microtremor technology. Many of these measurements were made at stations in regional earthquake-monitoring networks, and sponsored by the US Geological Survey. The <a href="https://drive.google.com/open?id=15VSI4vhzPfy_GVoB_XYKsWfrhPM9u5E9">Google Drive link</a> leads to a directory structure grouping the measurements by region, and the files are often named with the monitoring network station name. Each file is a self-explanatory, plain-text list of the data and results from the measurement. Where multiple files are given for a particular site, measurements were made at slightly different refraction microtremor array locations, at different times, and by different interpreters; thus expressing both the aleatory variation of velocity in the ground and the epistemic variability of the measurement technique (+/- 15% according to <a href="https://drive.google.com/file/d/1hM3Ows2z2a_xzwriodQT-aKP-UlPubuB/view?usp=sharing">Louie, 2001</a>). Each measurement file includes refraction microtremor array location data, a summary Vs30 value, and a modeled shear-wave-velocity-versus-depth profile. Efforts are underway to add the picked refraction microtremor p-f image and the picked fundamental-mode Rayleigh-wave dispersion-curve data to each file. Many of these measurements have been published in peer-reviewed journal papers and project reports (available in the Preprint Archive from <a href="https://www.google.com/url?q=https%3A%2F%2Flouie.pub&sa=D&sntz=1&usg=AFQjCNFFK9_R0AxlZlKRpWgeFFhzxMON0A">Louie.pub</a>). As well, these archives give additional details on refraction microtremor measurements found in the US Geological Survey's Vs30 archive at <a href="https://www.google.com/url?q=https%3A%2F%2Fearthquake.usgs.gov%2Fdata%2Fvs30%2Fus%2F&sa=D&sntz=1&usg=AFQjCNEOXhj6fRvlr7ftsB-yN_DaDGcE8Q">https://earthquake.usgs.gov/data/vs30/us/</a> . All data in this archive are in the public domain, distributed under a <a href="https://www.google.com/url?q=https%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby%2F4.0%2F&sa=D&sntz=1&usg=AFQjCNHR4439nM4_Ar7-II5_R_iZxNxJdg">Creative Commons CC BY</a> license.</p>
Plazi Treatment RDF Archive
<p>Plazi is an association supporting and promoting the development of persistent and openly accessible digital taxonomic literature. To this end Plazi will:</p> <ul> <li>Maintain a digital taxonomic literature repository to enable archiving of taxonomic treatments.</li> <li>Enhance submitted taxonomic treatments by creating TaxonX and Taxpub XML versions.</li> <li>Participate in the development of new models for publishing taxonomic treatments in order to maximize interoperability with other relevant cyberinfrastructure components (e.g., name servers, biodiversity resources, etc...)</li> <li>Advocate and educate about the vital importance of maintaining free and open access to scientific discourse and data</li> </ul> <p>This publication contains a snapshot of the RDF data associated with over 300,000 taxonomic literature indexed by Plazi accessed via https://github.com/plazi/treatments-rdf/archive/master.zip on 2020-10-01 .</p>
Data archives for all sessions, consisting of probes and instructional sessions outputs for each of the three research participants
<p>Three participants, identified with fictitious names, were exposed to Instructional and Probe sessions to induce and test for Bidirectional Naming (BiN). This Dataset is composed by the records of both types of individual sessions, as recorded originaly by the computer and the experimenter. In the begginig of the files there are some general information, and below are the data for trials. Each line represents a trial and informs the response latency, the stimuli presented and the response given, as well as the expected response.<br> The data is in portuguese, but the authors are at disposal for any doubts. The name of the file indicates the participant and the study phase.</p>
References to Earthquakes in VOC Archives
<p>This csv-file contains references to 172 earthquakes or similar events in the VOC-archives dating from 1674 to 1786. These events mostly occured in the former Dutch East Indies. The data is gathered from automatic transcriptions (Transkribus platform) from the scans of the VOC archives: https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory</p> <p>The csv file has the following columns:</p> <ul> <li>File name of online scan</li> <li>Year</li> <li>Date</li> <li>location</li> <li>Damage</li> <li>Additional information</li> </ul> <p> </p> <p> </p>
Data archive for the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method"
<p>Data archive accompanying the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method". In 2020 this article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em>. Data are uploaded in the form of ascii text files, Igor Pro experiment files (.pxp), and Jupyter notebook files. In addition, a Jupyter notebook file is included containing an implementation of the error model used in the paper.</p>
SPARC_Landscape Research Centre Archive_2020
<p>The <a href="http://www.landscaperesearchcentre.org/html/lrc_home_page.html">Landscape Research Centre</a>, led by Dominic Powlesland, was registered as a charity in 1980 (Registered Charity number 326710 - Registered Company number 01852824) to promote research into the evolution of the landscape from the Palaeolithic to the present, and to publish the results. Most work so far has been under the banner of the <a href="http://www.landscaperesearchcentre.org/AA%20Tier%201%20Primary%20Headings/heslerton_parish_project.htm">Heslerton Parish Project</a>, a research framework established in 1980 to provide a research context for a series of large, seasonal, open-area rescue excavations undertaken ahead of mineral extraction in the Vale of Pickering in eastern Yorkshire. The LRC is undertaking remote-sensing projects employing established technologies that include air photography and ground-based geophysics, as well as new technologies such as thermal and multi-spectral surveys designed to identify the physical resources relating to human occupation of the landscape without physical intervention. In addition, the LRC carries out large scale rescue archaeology and smaller research projects, investigating sites threatened through mineral extraction, agriculture and drainage schemes which have a significant but less visible impact on the archaeological resource than, for instance, the redevelopment of our urban centres.</p> <p>The dataset published here (<a href="https://lrc.cast.uark.edu/map">and viewable online through the LRC's interactive map</a>) includes the magnetometry/gradiometry outputs in georeferenced tiff files, the inundation levels for the region in georeferenced tiff files, the extent of the sands and gravels in the region in georeferenced tiff files, and the polyline interpretation of the various datasets in geojson files. Though the original files were produced in OSGB-36, two projections have been archived for each file: OSGB-36 EPSG 27700 and WGS-84 EPSG 4326.</p> <p> </p>
Fort Vancouver Historic Site Archive: Axe Head
Another artifact from the Fort Vancouver National Historic Site. They house more than 2 million items that have been recovered by the on-site archaeology team and the annual field school Source: Objaverse 1.0 / Sketchfab
Archive Project Test
First time working with combining 3D models on meshmixer; very loose recreation of a cuneiform archival bench in the Late Bronze Age using what free .obj files I could get my hands on. Source: Objaverse 1.0 / Sketchfab
Github-Archive Event Analysis
<p>This research project fetches event-data from githubarchives.org, filters the data to extract the information of interest, generates basic statistics and plots regarding to these statistics.</p> <p>The experiment is deployed to gain general knowledge on basic github-usage. Therefore, the following questions were followed:<br /> 1) How are GitHub-events distributed? - This can be derived by quantitative analysis of the distribution of different Event-Types.<br /> 2) What is the common ratio of commits per push, what are extremes? - again quantitative analysis of push-events is used.</p> <p>To visualize the results of this analysis, two plots are created. Each plot addresses one of the research-questions described above. Additionally, textual output is written to the terminal containing the precise numbers of the analysis and can be captured via native terminal functions.<br /> The data-files created by downloading and unzipping are just used as input for analysis and do not depict "final output".</p> <p>The given results were collected/created for the default time-period: 01.01.2015 00:00 to 01:00. </p> <p> </p> <p>The python3-Scripts need python version 3 and were executed on Linux! Additional libraries are required: matplotlib for python3</p>
Mansar site and excavation archive : version 1.0
<p>Collection of the materials found during excavations with additional documentation of the ruined monuments.</p>
The BONES Archive
<h2>The BONES Archive v1.1.0</h2> <p>We introduce<strong> <em>The Benchmarking Observations of NEarby Subdwarfs (BONES) Archive</em></strong>, which includes most of the known confirmed/candidate low-metallicity ultracool dwarfs. All relevant catalog astrometric, photometric, and properties data are included in <em>The BONES Archive</em>. Alongside the catalog data, measured spectra from the literature is included. Due to the sample of low-metallicity ultracool dwarfs increasing with time we provide a Google Form link that will allow submission of new discoveries. </p> <p><em>The BONES Archive</em> is a crowd sourced archive based off the submissions of other astronomers in the field with any addition of subdwarf, extreme subdwarf, or ultra subdwarf for objects of spectral types later than M7 (M/L/T/Y).</p> <p><strong><em><a href="https://docs.google.com/spreadsheets/d/1b9SUUshady_efTJaWEXiy4g-1n-JOzG_Mcy6j1CFE8k/edit?usp=sharing">The BONES</a></em><em><a href="https://docs.google.com/spreadsheets/d/e/2PACX-1vS_2I1rD0cyAd9__dCyIFe8NRmZt9BLi3wk69xqodsQI1-h_BP3JuSQfMsWfcuBwxMwUlec3Lr8L_3A/pubhtml#gid=270224393"> Archive</a></em></strong></p> <p>For any use of this archive please cite the research note at Brooks et al. (in prep.). </p> <p>For any questions related to this archive please email <a href="mailto:85brookshunter85@gmail.com">Hunter Brooks</a></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.