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545 results for “Latin”
Inverse Correlation between Dengue Fever and COVID-19 spread in Latin America, the Caribbean and Asia
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Latin American and Caribbean Contemporary Art Web Archive collection derivatives
<p>Web archive derivatives of the <a href="https://archive-it.org/collections/11576">Latin American and Caribbean Contemporary Art Web Archive collection</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-11576-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-11576-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>
The Lost Patriarchs Project: discovering Greek patristics in the medieval Latin tradition
<p>A video and transcript on The Lost Patriarchs Project, delivered for the Dark Archives Conference, September 8-10, 2020. More information can be found on the<a href="https://www.lostpatriarchsproject.com/"> project website</a>.</p>
A Benchmark Dataset for Lightning Nowcasting in Latin America
<p>In 2023, the <a href="https://wmo.int/" target="_blank" rel="nofollow noreferrer noopener">World Meteorological Organization</a> (WMO) commissioned a pilot project for nowcasting convective weather hazards using artificial intelligence (AI) methods. The project focuses on predicting lightning and quantitative precipitation estimation (QPE) over Latin America, Africa, and southeast Asia. This project is called the AI Nowcasting Pilot Project (AINPP), and is part of WMO's Early Warning for All initiative (<a href="https://wmo.int/activities/early-warnings-all/wmo-and-early-warnings-all-initiative" target="_blank" rel="nofollow noreferrer noopener">EW4All</a>).</p> <p>This benchmark dataset is for evaluating the prediction of lightning in Latin America. The dataset currently consists of 30 days data at 10-minute temporal resolution (5 consecutive days for 6 consecutive months). <br><br>Contents:</p> <ul> <li>mexico_targets.tar.gz: The targets or predictand over Mexico, using 1- and 2-hour accumulations of flash-extent density observed by the GOES-16 Geostationary Lightning Mapper.</li> <li>mexico_example_predictions.tar.gz: Example predictions from the <a href="https://cimss.ssec.wisc.edu/severe_conv/ptlg.html" target="_blank" rel="noopener">NOAA/CIMSS LightningCast model</a>, matching the files in mexico_targets.tar.gz.</li> <li>south_america_targets.tar.gz: The targets or predictand over South America, using 1- and 2-hour accumulations of flash-extent density observed by the GOES-16 Geostationary Lightning Mapper.</li> <li>south_america_example_predictions.tar.gz: Example predictions from the <a href="https://cimss.ssec.wisc.edu/severe_conv/ptlg.html" target="_blank" rel="noopener">NOAA/CIMSS LightningCast model</a>, matching the files in south_america_targets.tar.gz.</li> </ul>
FDI and Poverty Reduction in Latin America
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Dataset: Patria Latin American Opportunity Acquisition Corp. (PLAOU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
FIGURE 3 in Staphylinidae (Insecta: Coleoptera) in Latin America: synopsis, annotated catalog, diversity and distribution
FIGURE 3. Number of species and genera described in each decade.
FIGURE 2 in Staphylinidae (Insecta: Coleoptera) in Latin America: synopsis, annotated catalog, diversity and distribution
FIGURE 2. Number of species described by authors.
FIGURE 1 in Staphylinidae (Insecta: Coleoptera) in Latin America: synopsis, annotated catalog, diversity and distribution
FIGURE 1. Numbers of species and genera by regions and countries.
FIGURE 2 in The genus Aongstroemia in Latin America (Dicranaceae, Bryophyta) with special reference to Aongstroemia gayana
FIGURE 2. Aongstroemia gayana. Distribution map.
Figure 108. Torrenticola pervagata. A–D in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 108. Torrenticola pervagata. A–D, female (CR 202). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view. Scale bars = 100 µm.
Figure 91. Torrenticola alticola. A–D in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 91. Torrenticola alticola. A–D, female (CR 170). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view. Scale bars = 100 µm.
Figure 86. Torrenticola torpebrazo. A–D in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 86. Torrenticola torpebrazo. A–D, female (CR 206). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view. Scale bars = 100 µm.
Figure 84. Torrenticola semicolor. A–D in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 84. Torrenticola semicolor. A–D, female (CR 281). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view. Scale bars = 100 µm.
Figure 81. Torrenticola semicolor. A–D in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 81. Torrenticola semicolor. A–D, holotype male, prep. no. 5810 SMF Viets collection; E, paratype male, prep. no. 5723 SMF Viets collection; F, holotype male, prep. no. 5810 SMF Viets collection; G, allotype female, prep. no. 5805 SMF Viets collection; A–E, G after K.O. Viets (1977/78, Teil II). A, G, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum, lateral view; D, left palp; E, capitulum, dorsal view; F, genital skeleton, anterior view. Scale bars = 100 µm.
Figure 56 in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 56. Torrenticola conirostris/rala-complex. A–D, female (CR 225). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view. Scale bars = 100 µm.
Figure 55 in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 55. Torrenticola conirostris/rala-complex. A, B, female (CR 201). A, idiosoma, ventral view; B, capitulum with right palp, lateral view. Scale bars = 100 µm.
Figure 54 in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 54. Torrenticola conirostris/rala-complex. A–D, male (CR 190). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view. Scale bars = 100 µm.
Figure 51. Torrenticola rala. A–F in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 51. Torrenticola rala. A–F, male; G, female, after Cook (1980). A, G idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view; E, first leg, terminal segments; F, genital skeleton, anterior view (most probably squeezed in preparation). No measurement scale bars available.
Figure 46. Torrenticola monticola. A–E in Studies on Latin American water mites of the genus Torrenticola Piersig, 1896 (Torrenticolidae, Hydrachnidia, Acari)
Figure 46. Torrenticola monticola. A–E, holotype male (CR 98). A, idiosoma, ventral view; B, idiosoma, dorsal view; C, capitulum with right palp, lateral view; D, left palp, medial view; E, genital skeleton, anterior view. Scale bars = 100 µm.
ScienceDex guides
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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.