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112 results for “EOL”
EOL v3 data model Ontologies: media_extension.xml
Note: Some XML files need the stylesheet (.xsl and .css).<p></p>For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
EOL v3 data model Ontologies: reference_extension.xml
Note: Some XML files need the stylesheet (.xsl and .css).<p></p>For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
EOL v3 data model Ontologies: agent_extension.xml
Note: Some XML files need the stylesheet (.xsl and .css).<p></p>For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
EOL Dynamic Hierarchy, digest form, January 2019: Dynamic hierarchy digest January 2019
__Digest__ of the EOL dynamic hierarchy prepared by querying the online traits database. Unlike the full DH files, this file provides only the bare minimum information for each taxon: page id, parent page id, canonical name.<p></p>Zip file containing a README and a three-column CSV (pages.csv) with header row
EOL Hierarchy Entries April 2017: Hierarchy Entries April 2017
This is a file listing all EOL hierarchy entries along with associated name strings, mapped taxon concept (EOL page ID), richness score of mapped page, and source hierarchy. Columns in the file: EOL_ID (taxon concept/page ID)|richness score|scientificName|hierarchy entry ID| source hierarchy
EOL computer vision pipelines: Classification for Image Tagging: Flower Fruit
<p>Angiosperms: Stats from Colab:</p> <ul> <li>Number of positive identified reproductive structures: 490</li> <li>Number of possible identified reproductive structures: 4611</li> <li>Number of negative identified reproductive structures: 14833</li> </ul> <p> </p>
EOL computer vision pipelines: Classification for Image Tagging: Image Type: Anura
<p>Produced by the EOL Image Type Classifier. Classifies images as map, phylogeny, illustration, herbarium sheet, or none. Dataset generated for EOL Anura images. See model on the CV for <a href="https://www.kaggle.com/models/eolorg/image-quality-rating-bad-vs-good" target="_blank" rel="noopener">EOL Images Model Zoo on Kaggle</a>.</p>
EOL computer vision pipelines: Classification for Image Tagging: Image Rating: Chiroptera
<p>Produced by the EOL Image Rating Classifier. Classifies images as bad or good quality (used for image gallery sorting). Dataset generated for EOL Chiroptera images. See model on the CV for <a href="https://www.kaggle.com/models/eolorg/image-quality-rating-bad-or-good" target="_blank" rel="noopener">EOL Images Model Zoo on Kaggle</a>.</p>
EOL full taxon identifier map
<p>A mapping of taxon identifiers from EOL resources, of the form: node_id, resource_pk, resource_id, page_id, preferred_canonical_for_page</p> <ul> <li>node_id: internal to EOL; useful for some API calls</li> <li>resource_pk: identifier according to the classification provider </li> <li>resource_id: identifies the classification provider (see below) </li> <li>page_id: EOL taxon concept identifier; official, for sharing </li> <li>preferred_canonical_for_page: canonical name preferred by EOL for this taxon concept </li> </ul> <p>commas within entries are "escaped, by, quoting", and quotes-within-quotes are ""double quoted""</p> <p>resource_ids, their names and descriptions, are available at: <a href="https://eol.org/resources.json">https://eol.org/resources.json </a></p> <p>To view one at a time: https://eol.org/resources/[enter ID here] </p> <p>There is also a summary file with resources ids, links, and resource names here: <a href="https://github.com/KatjaSchulz/eolResources">https://github.com/KatjaSchulz/eolResources</a></p> <p>And there is a smaller mapping file just for the major EOL classification sources: <a href="../doi/10.5281/zenodo.13769681">EOL taxon identifier map</a></p>
EOL Sample maps
<ol> <li><em>Gadus chalcogrammus</em> (species) </li> <li><em>Gadus macrocephalus</em> (species) </li> <li><em>Gadus morhua</em> (species) </li> <li><em>Gadus</em> (genus) </li> <li>Gadidae (family)</li> <li>Gadiformes (order) </li> </ol>
samples inventory - single-stringer coupons for EoL research - ReINTEGRA
<p>Open access to experimental data generated by the ReINTEGRA project (GA 886609, H2020, European Union, through Clean Sky 2 JU) along the research, at single-stringer coupon level, of the End-of-Life of novel welded Al-Li aerostructures. Research pertaining to Task 1.1 (WP1), Deliverable D1.</p> <p>Processed data originated from calliper and precision balance measurements conducted by AZTERLAN, to determine weight and dimensions of coupons supplied by ecoTECH partners. The file contains the physical description of samples from 15 references of coupons, being each reference a unique combination of stringer and skin alloys, welding technique, stringer configuration, coating and FSW sealant. The coupon samples have been used for investigating cutting strategies and decoating methods (WP2), remelting set-up (WP3) and pre-scrap characterisation protocols (WP4). The experimental plan, with estimation of number of samples required of each reference, was outlined as part of Task 1.1 (WP1).</p> <p> </p>
Dataset: Evolus, Inc. (EOLS) 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.
Repackaged Encyclopedia of Life (EOL) Dynamic Hierarchy hash://sha256/f91877189f3cd14f4066b16b693a5f93105fd23b881b0825d6781be6ac674b88 hash://md5/18ca6625cf1d24093dc104851ab5722b
<p>This publication contains a repackaged publication of the Encyclopedia of Life Dynamic (Taxon) Hierarchy v2.1 as retrieved on 8 July 2024 via https://editors.eol.org/uploaded_resources/00a/db4/7b-57ed-4f6b-8f66-83bfdb5120e8 .</p> <p>File included in this publication:</p> <p>1. dh21.zip - original file retrieved via https://editors.eol.org/uploaded_resources/00a/db4/7b-57ed-4f6b-8f66-83bfdb5120e8</p> <p>2. taxon.tab.gz - extracted, and gzipped, taxon.tab as extracted from dh21.zip</p> <p>3. taxon-first10.tab - first 10 lines of taxon.tab.gz</p> <p>3. meta.xml - as extracted from dh21.zip</p> <p>4. prov.nq - log documenting the provenance of dh21.zip</p>
EOL Dynamic Hierarchy Patch: EOL Dynamic Hierarchy Patch 2.2
<p>A taxonomic patch for the <a href="https://eol.org/docs/eol-dynamic-hierarchy">EOL dynamic hierarchy</a>.</p>
EOL Trilobites Patch: EOL Trilobites Patch
<p>Trilobite species from the Paleobiology database.</p>
World Register of Marine Species: WoRMS->EOL taxon ID map
The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensive list of names of marine organisms, including information on synonymy. WoRMS data published to EOL include taxon names and classification, images and Notes, and attribute data including Environment and Distribution.<p></p>Column 1: WoRMS ID Column 2: EOL ID
EOL computer vision pipelines: Object Detection for Image Cropping: Aves
<p>Produced by an detection model pretrained on MS COCO 2017. Automatically crops images of birds (Aves) to square dimensions centered around animal(s). </p> <p>388,166 rows </p>
EOL computer vision pipelines: Object Detection for Image Cropping: Multi-taxon
<p>Produced by EOL Multitaxon Object Detection Model. Automatically crops images of snakes & lizards (Squamata), beetles (Coleoptera), frogs (Anura), and carnivores (Carnivora) to square dimensions centered around animal(s). Model available in the <a href="https://www.kaggle.com/models/eolorg/multitaxa-crops-thumbnails" target="_blank" rel="noopener">EOL Model Zoo on Kaggle</a>.</p> <ul> <li>Anura = 42646 rows</li> <li>Coleoptera = 115276 rows</li> <li>Squamata = 132680 rows</li> <li>Carnivora = 31132 rows</li> </ul>
EOL computer vision pipelines: Object Detection for Image Cropping: Chiroptera
<p>Produced by EOL Chiroptera Object Detection Model. Automatically crops images of bats (Chiroptera) to square dimensions centered around animal(s). Model available in the <a href="https://www.kaggle.com/models/eolorg/chiroptera-crops-thumbnails" target="_blank" rel="noopener">EOL Model Zoo on Kaggle</a>.</p> <p> </p> <p>17,401 rows</p>
EOL computer vision pipelines: Object Detection for Image Cropping: Lepidoptera
<p>Produced by EOL Lepidoptera Object Detection Model. Automatically crops images of butterflies and moths (Lepidoptera) to square dimensions centered around animal(s). Model available in the <a href="https://www.kaggle.com/models/eolorg/lepidoptera-crops-thumbnails" target="_blank" rel="noopener">EOL Model Zoo on Kaggle</a>.</p> <p> </p> <p>608,163 rows</p> <p> </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.