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zenodo36/100

South African Open Data in Higher Education: Sources, resources and providers

<p>Spreadsheet of data sourced on South African sources, resources and providers of higher education open data. Composed through desk review as principle component of the situational analysis conducted for the &#39;Use of open data in the governance of South African higher education&#39; research project, in the IDRC/WWWF &#39;Exploring Emerging Impacts of Open Data in the South&#39; initiative.</p>

opencc-by-sa-4.0May 2014View details →
zenodo36/100

Supporting data for Open government data for regulation of energy resources in India

<p>This dataset contains supporting tables from the paper &quot;Open government data for regulation of energy resources in India&quot; published as part of the Exploring the Emerging Impacts of Open Data in Developing Countries project.</p> <p>Contextual information on each table is provided in the associated report.</p>

opencc-by-4.0Aug 2014View details →
zenodo36/100

3D Matching of resource vision tracking trajectories

<p>Three dimensional (3D) paths of resources, have been proposed in construction management, as an efficient way for measuring labor productivity. These paths, are extracted either by using sensors such as Global Positioning System (GPS), Radio Frequency Identification (RFID), and Ultra-wideband (UWB), or based on cameras placed at jobsites for surveillance purposes. However, the tag based methods are seriously limited by privacy conflicts since they are not welcome from the personnel. On the other hand, the computer vision based methods have not achieved full automation in measuring labour productivity because they require prior knowledge of the type of tasks performed in specific working zones. This is associated with the lack of depth information. For this purpose, this paper proposes a computationally efficient computer vision method for matching construction workers across different frames. Entity matching, is a process that corresponds to a compulsory step prior to the calculation of the 3D position. The proposed matching method, is based on epipolar geometry, template and motion similarity features. The main result of this process, is to provide a method for the acquisition of the 3D paths that compose the detailed profile of a construction activity in terms of both time and space.</p>

opencc-zeroJan 2016View details →
zenodo36/100

Coûts de documentation électronique à la Bibliothèque Clermont Université (Electronic resources costs at Clermont University Library), 2009-2015

<p>Ce tableau pr&eacute;sente les d&eacute;penses de documentation &eacute;lectronique de la Biblioth&egrave;que Clermont Universit&eacute; entre 2009 et 2015, par &eacute;diteur et par an. Les montants sont indiqu&eacute;s en euros TTC.</p>

opencc-zeroJul 2016View details →
zenodo36/100

Supporting Data: The Paucity of frugivores in Madagascar may not be due to unpredictable temperatures or fruit resources

<p>This directory contains phenology and climate data from Betampona (Madagascar) and Kibale (Uganda), as well as code used for analyses and generating figures.</p> <p>~/DATA/ contains phenology and climate datasets from Betampona (Madagascar) and Kibale (Uganda)<br> ~/SCRIPTS/ contains scripts used in analyzing phenology and climate -- regression analysis and colwell's metrics -- and for generating figures</p>

opencc-by-4.0Dec 2016View details →
zenodo36/100

Dutch language resources for spaCy

<p>Version 0.1.0 of the Dutch language resources for spaCy</p> <p>spaCy is a library for advanced natural language processing in Python and Cython. See also https://spacy.io/ and https://github.com/explosion/spaCy</p> <p>The Dutch language resources were trained with data from Universal Dependencies (UD_Dutch: https://github.com/UniversalDependencies/UD_Dutch and UD_Dutch-LassySmall: https://github.com/UniversalDependencies/UD_Dutch-LassySmall ) and CoNLL 2002 (http://www.cnts.ua.ac.be/conll2002/ner.tgz ; http://www.cnts.ua.ac.be/conll2002/ner/).</p> <p>More information about this data set can be found at https://github.com/nlesc-sherlock/spacy-dutch</p>

opencc-by-sa-4.0Dec 2016View details →
zenodo36/100

An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-effective Resource Procurement

<p>This repository contains code and data for the paper "An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-effective Resource Procurement", by Cheng Wang, Qianlin Liang and Bhuvan Urgaonkar.</p>

opencc-by-4.0Jan 2017View details →
zenodo36/100

Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 1)

<p>The system is for track1 alone.  We trained an antoencoder using unsupervised bottleneck features with word-pair information from Switchboard. The unsupervised bottleneck features was extracted from an extractor of multi-task learning deep neural networks (MTL-DNN). The word-pair information was the ground truth from Switchboard. The final features are obtained from the third layer in our pairwise trained autoencoder.</p>

opencc-by-sa-4.0Jun 2017View details →
zenodo36/100

Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 3)

<p>The system is for track1 alone. We trained an antoencoder using unsupervised bottleneck features with word-pair information from unsupervised term detection (UTD) on all corpora of five languages. The unsupervised bottleneck features was extracted from an extractor of multi-task learning deep neural networks (MTL-DNN). The word-pair was found by UTD. The UTD process was built on ZRTools. The final features are obtained from the third layer in our pairwise trained autoencoder.</p>

opencc-by-4.0Jun 2017View details →
zenodo36/100

Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 2)

<p>The system is for track1 alone. We trained an antoencoder using unsupervised bottleneck features with word-pair information from unsupervised term detection (UTD) only on the give ENGLISH corpus. The unsupervised bottleneck features was extracted from an extractor of multi-task learning deep neural networks (MTL-DNN). The word-pair was found by UTD. The UTD process was built on ZRTools. The final features are obtained from the third layer in our pairwise trained autoencoder.</p>

opencc-by-4.0Jun 2017View details →
zenodo36/100

Collection of Tibetan etexts compiled by the Buddhist Digital Resource Center

<p>This is the Tibetan etext collection of the Buddhist Digital Resource Center (www.tbrc.org) as of April 28, 2017.</p>

opencc-by-4.0Apr 2017View details →
zenodo36/100

Resources for robotology/natural-speech

<p>Resources for the code available at https://github.com/robotology/natural-speech.</p>

opengpl-2.0Jul 2017View details →
zenodo36/100

Discriminative feature learning for Zero resource spoken term discovery (system #1)

<p>This is a preliminary version. More details about the STD system can be found here:<br> <a href="http://raiith.iith.ac.in/5161/1/1476.PDF">http://raiith.iith.ac.in/5161/1/1476.PDF</a><br> <a href="https://pdfs.semanticscholar.org/d235/7870f53eed854fc65b6b0f78fc62b968f0c6.pdf">https://pdfs.semanticscholar.org/d235/7870f53eed854fc65b6b0f78fc62b968f0c6.pdf</a></p>

opencc-by-4.0Aug 2017View details →
zenodo36/100

Discriminative feature learning for Zero resource spoken term discovery (system #1)

<p>This is a preliminary version. More details about the STD system can be found here:<br> <a href="http://raiith.iith.ac.in/5161/1/1476.PDF">http://raiith.iith.ac.in/5161/1/1476.PDF</a><br> <a href="https://pdfs.semanticscholar.org/d235/7870f53eed854fc65b6b0f78fc62b968f0c6.pdf">https://pdfs.semanticscholar.org/d235/7870f53eed854fc65b6b0f78fc62b968f0c6.pdf</a></p>

opencc-by-4.0Aug 2017View details →
zenodo36/100

Nomer Corpus of Taxonomic Resources hash://sha256/43450c358a666eb5cba6a16aed4e855887bb36b61dd6360b713529fd3d7a1f75 hash://md5/cba513e77093c9cc46312126bcb193e6

<p>This publication contains a Preston archive of resources used by Nomer, a biodiversity name and term translator.</p> <p>This archive contains specific (repackaged) versions of:</p> <p>NCBI Taxonomy [1,2], ITIS Taxonomy [3], GBIF Backbone Taxonomy [4,5], Index Fungorum [6], Plazi Treatment Bank [7], the Catalogue of Life [8], the Open Tree of Life Reference Taxonomy [9], the World of Flora Online [10], the Foundational Taxonomic Resources For The Terrestrial Parasite Tracker (TPT) Project [11], Paleobiology Database [12], Mammal Diversity Database [13], Discover Life bee species guide and world checklist [14],&nbsp; the World Register of Marine Species [15,16], Encyclopedia of Life's Dynamic Hierarchy [17,18,20,21], and Wikidata Taxon Items [19].</p> <p>Please follow academic citation guidelines when using this corpus.</p> <p>To clone this archive:</p> <p><code>preston clone --anchor hash://sha256/43450c358a666eb5cba6a16aed4e855887bb36b61dd6360b713529fd3d7a1f75 --remote https://linker.bio,https://zenodo.org/records/15596413/files,https://zenodo.org/records/12695629/files,https://zenodo.org/records/12536844/files,https://zenodo.org/records/12117955/files,https://zenodo.org/records/11105453/files/,https://zenodo.org/records/10810821/files/,https://zenodo.org/records/10045382/files/,https://zenodo.org/records/10037817/files/,https://zenodo.org/records/8327611/files/</code></p> <p>After cloning this archive, you should be able to reproduce results below without the --remote https://zenodo.org... part.</p> <p>This publication has history:</p> <p><code>preston history --anchor hash://sha256/43450c358a666eb5cba6a16aed4e855887bb36b61dd6360b713529fd3d7a1f75 --remote https://linker.bio,https://zenodo.org/records/15596413/files,https://zenodo.org/records/12695629/files,https://zenodo.org/records/12536844/files,https://zenodo.org/records/12117955/files,https://zenodo.org/records/11105453/files/,https://zenodo.org/records/10810821/files/,https://zenodo.org/records/10045382/files/,https://zenodo.org/records/10037817/files/,https://zenodo.org/records/8327611/files/</code></p> <p>producing the following provenance graph -&nbsp;</p> <pre><code>&lt;hash://sha256/43450c358a666eb5cba6a16aed4e855887bb36b61dd6360b713529fd3d7a1f75&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/b60c0d25a16ae77b24305782017b1a270b79b5d1746f832650f2027ba536e276&gt; .<br>&lt;hash://sha256/b60c0d25a16ae77b24305782017b1a270b79b5d1746f832650f2027ba536e276&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/b959e969ddf4114bd590ec1cdcf7ec572076bd46e2e28e2fee038a3f6d41b9fd&gt; .<br>&lt;hash://sha256/b959e969ddf4114bd590ec1cdcf7ec572076bd46e2e28e2fee038a3f6d41b9fd&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/3361f03229301a339b86779df0d74ed9ab564b1ef98dda4556ed0a0cafc28700&gt; .<br>&lt;hash://sha256/3361f03229301a339b86779df0d74ed9ab564b1ef98dda4556ed0a0cafc28700&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/83617875e84bb8ae7ac2a257ad50eb8e82d8935d975f465b8ee8f3a803f72b48&gt; .<br>&lt;hash://sha256/83617875e84bb8ae7ac2a257ad50eb8e82d8935d975f465b8ee8f3a803f72b48&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/d2903d0384a8b8193819b8061c8c4e6fec8cc2f7fe72dc0e91c90c07ba2fe15e&gt; .<br>&lt;hash://sha256/d2903d0384a8b8193819b8061c8c4e6fec8cc2f7fe72dc0e91c90c07ba2fe15e&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/5d641367b570f7b3f3c3be4f778f9685f0f050a99f86d8b56475491a4810fc46&gt; .<br>&lt;hash://sha256/5d641367b570f7b3f3c3be4f778f9685f0f050a99f86d8b56475491a4810fc46&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/e4dd19f14143b87497c126aa337a607838ea3766c70afb3a9ffcd978e7a9f7f3&gt; .<br>&lt;hash://sha256/e4dd19f14143b87497c126aa337a607838ea3766c70afb3a9ffcd978e7a9f7f3&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/5a03c765d35a481908e87f518d2c6c801da42183c17002bea1888a8093a4f740&gt; .<br>&lt;hash://sha256/5a03c765d35a481908e87f518d2c6c801da42183c17002bea1888a8093a4f740&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/05d79ed0c00e07032d053663a8cfdcf24ba7b5aed651721d5e99659e4db94131&gt; .<br>&lt;hash://sha256/05d79ed0c00e07032d053663a8cfdcf24ba7b5aed651721d5e99659e4db94131&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/12051b8aa59930d6561a3ed46b7cf3f67a31a98445a457d78894f6b8a8e81641&gt; .<br>&lt;hash://sha256/12051b8aa59930d6561a3ed46b7cf3f67a31a98445a457d78894f6b8a8e81641&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/ed9f35887419d44ad294b4225fed0a9113ac68ca5314c4b6b009709fc1698898&gt; .<br>&lt;hash://sha256/12051b8aa59930d6561a3ed46b7cf3f67a31a98445a457d78894f6b8a8e81641&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/e7130fb557d9aee033ac7147f4d5c4c75f12223dd43e53c7cbb141372f9579cd&gt; .<br>&lt;hash://sha256/ed9f35887419d44ad294b4225fed0a9113ac68ca5314c4b6b009709fc1698898&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/0e9bc57bc082b58a2c7a509bb73362b258ec8ddfc6664898e25c639786413fda&gt; .<br>&lt;hash://sha256/e7130fb557d9aee033ac7147f4d5c4c75f12223dd43e53c7cbb141372f9579cd&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/e7e1f2e470373b66719db5240947da5c1a76df5dc81ecf786b4173c6e51e89cb&gt; .<br>&lt;hash://sha256/0e9bc57bc082b58a2c7a509bb73362b258ec8ddfc6664898e25c639786413fda&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/743e45b0c9fa29f5dffc3f46c45e4f62081e1857a213100887ecd9977a109333&gt; .<br>&lt;hash://sha256/e7e1f2e470373b66719db5240947da5c1a76df5dc81ecf786b4173c6e51e89cb&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/8ba35deafc847f0d5d69d357241a431b7fd9b6f2735189575b2b7168d523caa9&gt; .<br>&lt;hash://sha256/743e45b0c9fa29f5dffc3f46c45e4f62081e1857a213100887ecd9977a109333&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/6dc0ab2adbba30dd9bb430f317d0a050585e5c2ebb4e8a932331d3c9f0428d17&gt; .<br>&lt;hash://sha256/8ba35deafc847f0d5d69d357241a431b7fd9b6f2735189575b2b7168d523caa9&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/f8e4e4d0ed105c6d1b933ddfbcf199dba732560e9dcfdb26569f3050980affa5&gt; .<br>&lt;hash://sha256/6dc0ab2adbba30dd9bb430f317d0a050585e5c2ebb4e8a932331d3c9f0428d17&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/c7f53b23bbeb150dc3454839e25c806229e3414132071b391828bb06400360be&gt; .<br>&lt;hash://sha256/f8e4e4d0ed105c6d1b933ddfbcf199dba732560e9dcfdb26569f3050980affa5&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/a9d3b1a8ca650d8ac8366cba306329e71eb40e6bdc10c594c1b13fd37311a3b8&gt; .<br>&lt;hash://sha256/c7f53b23bbeb150dc3454839e25c806229e3414132071b391828bb06400360be&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/b42923293cebab084517099670cf0b50ad1cce3066286c959644d950b43d7e1b&gt; .<br>&lt;hash://sha256/a9d3b1a8ca650d8ac8366cba306329e71eb40e6bdc10c594c1b13fd37311a3b8&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/b2a6462951bf8ae61cb4108bbab4bcec407bdab8cbe75b38400391930ff5e95b&gt; .<br>&lt;hash://sha256/b42923293cebab084517099670cf0b50ad1cce3066286c959644d950b43d7e1b&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/cbb140a9f0736cba21c0438c3da7917ac4fce470c933e074ba96c838d98ebf4a&gt; .<br>&lt;urn:uuid:0659a54f-b713-4f86-a917-5be166a14110&gt; &lt;http://purl.org/pav/hasVersion&gt; &lt;hash://sha256/b2a6462951bf8ae61cb4108bbab4bcec407bdab8cbe75b38400391930ff5e95b&gt; .<br>&lt;hash://sha256/cbb140a9f0736cba21c0438c3da7917ac4fce470c933e074ba96c838d98ebf4a&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/dac5911a81fb605fab012e90c98b37e990a076d77f9264fdb38ec7f379d82108&gt; .<br>&lt;hash://sha256/dac5911a81fb605fab012e90c98b37e990a076d77f9264fdb38ec7f379d82108&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/a0b5570204881a594cf0cca0d4b50c0ddca6f91c2086541516138a400620fb5b&gt; .<br>&lt;hash://sha256/a0b5570204881a594cf0cca0d4b50c0ddca6f91c2086541516138a400620fb5b&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/b3742bf43d9da0a8ed5522659199f47d68d31aaf46c90381190f324c1ac143f2&gt; .<br>&lt;hash://sha256/b3742bf43d9da0a8ed5522659199f47d68d31aaf46c90381190f324c1ac143f2&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/f4e2b9806440d0605f60b81feb9782655291aac2d000c74e4e8fdeb937e29b1d&gt; .<br>&lt;hash://sha256/f4e2b9806440d0605f60b81feb9782655291aac2d000c74e4e8fdeb937e29b1d&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/06a0582443bec6aa00e8fcd78bdd17f821ee29c8c9ab1999577ca5d085b382a3&gt; .<br>&lt;hash://sha256/06a0582443bec6aa00e8fcd78bdd17f821ee29c8c9ab1999577ca5d085b382a3&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/6224f259190590c7aed4784de2b27b3005eea0042ae02993ebf7a0fe30d87137&gt; .<br>&lt;hash://sha256/6224f259190590c7aed4784de2b27b3005eea0042ae02993ebf7a0fe30d87137&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/d58ab1acf350f056a75bde7f4175d14c5e4dfaf0bf20e2eedbb2fb585bdf0822&gt; .<br>&lt;hash://sha256/6224f259190590c7aed4784de2b27b3005eea0042ae02993ebf7a0fe30d87137&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/b7da22af4d24307f3c0c4f288243d5a32c88e7cf1e8cfbed054fd9bb7d777281&gt; .<br>&lt;hash://sha256/d58ab1acf350f056a75bde7f4175d14c5e4dfaf0bf20e2eedbb2fb585bdf0822&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/df5b1b63af4c6e995eddfe6bf36b4ece5475574fd4e871ad1ec0a8b283091e08&gt; .<br>&lt;hash://sha256/b7da22af4d24307f3c0c4f288243d5a32c88e7cf1e8cfbed054fd9bb7d777281&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/df5b1b63af4c6e995eddfe6bf36b4ece5475574fd4e871ad1ec0a8b283091e08&gt; .<br>&lt;hash://sha256/df5b1b63af4c6e995eddfe6bf36b4ece5475574fd4e871ad1ec0a8b283091e08&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/bb6dac6461b66212c5b1826447d7765529ff5cbadeac1915f7c3be9748eda991&gt; .<br>&lt;hash://sha256/df5b1b63af4c6e995eddfe6bf36b4ece5475574fd4e871ad1ec0a8b283091e08&gt; &lt;http://www.w3.org/ns/prov#wasDerivedFrom&gt; &lt;hash://sha256/bb6dac6461b66212c5b1826447d7765529ff5cbadeac1915f7c3be9748eda991&gt; .<br>&lt;urn:uuid:0659a54f-b713-4f86-a917-5be166a14110&gt; &lt;http://purl.org/pav/hasVersion&gt; &lt;hash://sha256/bb6dac6461b66212c5b1826447d7765529ff5cbadeac1915f7c3be9748eda991&gt; .<br>&lt;urn:uuid:0659a54f-b713-4f86-a917-5be166a14110&gt; &lt;http://purl.org/pav/hasVersion&gt; &lt;hash://sha256/bb6dac6461b66212c5b1826447d7765529ff5cbadeac1915f7c3be9748eda991&gt; .<br></code></pre> <p>This publication contains versions for the following (internet) content aliases (aka URLs, URIs, URNs) as generated via:</p> <p><code>preston alias -l tsv --anchor hash://sha256/43450c358a666eb5cba6a16aed4e855887bb36b61dd6360b713529fd3d7a1f75 --remote https://linker.bio,https://zenodo.org/records/15596413/files,https://zenodo.org/records/12695629/files,https://zenodo.org/records/12536844/files,https://zenodo.org/records/12117955/files,https://zenodo.org/records/11105453/files/,https://zenodo.org/records/10810821/files/,https://zenodo.org/records/10045382/files/,https://zenodo.org/records/10037817/files/,https://zenodo.org/records/8327611/files/ | cut -f1 | sort | uniq&nbsp;</code></p> <p>resulting in:</p> <pre><code>col:NameUsage.tsv<br>col:NameUsage.tsv.gz<br>http://104.198.143.165/files/WFO_Backbone/_WFOCompleteBackbone/WFO_Backbone.zip<br>https://download.catalogueoflife.org/col/latest_coldp.zip<br>https://files.opentreeoflife.org/ott/ott3.3/ott3.3/taxonomy.tsv<br>https://files.opentreeoflife.org/ott/ott3.4/ott3.4.tgz<br>https://files.worldfloraonline.org/Files/WFO_Backbone/_WFOCompleteBackbone/WFO_Backbone.zip<br>https://ftp.ncbi.nlm.nih.gov/pub/pmc/PMC-ids.csv.gz<br>https://ftp.ncbi.nlm.nih.gov/pub/taxonomy/taxdump.tar.gz<br>https://github.com/bio-guoda/preston/releases/download/0.3.9/preston.jar<br>https://github.com/bio-guoda/preston/releases/download/0.4.4/preston.jar<br>https://github.com/globalbioticinteractions/globi-taxon-names/raw/main/non-taxon-words.txt<br>https://github.com/globalbioticinteractions/globi-taxon-names/raw/main/taxon-name-mapping.csv<br>https://github.com/globalbioticinteractions/nomer/releases/download/0.2.5/nomer.jar<br>https://github.com/mammaldiversity/mammaldiversity.github.io/raw/master/_data/mdd.csv<br>https://github.com/plazi/treatments-rdf/archive/master.zip<br>https://paleobiodb.org/data1.2/refs/list.tsv?all_records<br>https://paleobiodb.org/data1.2/taxa/list.tsv?all_records<br>https://query.wikidata.org/sparql?format=json&amp;query=PREFIX%20rdfs:%20%3Chttp://www.w3.org/2000/01/rdf-schema%23%3E%0APREFIX%20bd:%20%3Chttp://www.bigdata.com/rdf%23%3E%0APREFIX%20wd:%20%3Chttp://www.wikidata.org/entity/%3E%0APREFIX%20wikibase:%20%3Chttp://wikiba.se/ontology%23%3E%0APREFIX%20wdt:%20%3Chttp://www.wikidata.org/prop/direct/%3E%0ASELECT%20?i%20?l%20WHERE%20%7B%0A%20%20?i%20wdt:P31%20wd:Q427626.%0A%20%20?i%20rdfs:label%20?l%0A%7D<br>https://raw.githubusercontent.com/jhpoelen/zenodo-upload/master/zenodo_upload.sh<br>https://raw.githubusercontent.com/njdowdy/tpt-taxonomy/main/Acari/Acari-standardized-v2.csv<br>https://raw.githubusercontent.com/njdowdy/tpt-taxonomy/main/host_files/Aves-standardized-v2.csv<br>https://raw.githubusercontent.com/njdowdy/tpt-taxonomy/main/host_files/Mammalia-standardized-v2.csv<br>https://raw.githubusercontent.com/njdowdy/tpt-taxonomy/main/Ixodida/Ixodida-standardized-v2.csv<br>https://raw.githubusercontent.com/njdowdy/tpt-taxonomy/main/Phthiraptera/Phthiraptera-standardized-v2.csv<br>https://raw.githubusercontent.com/njdowdy/tpt-taxonomy/main/Siphonaptera/Siphonaptera-standardized-v2.csv<br>https://uofi.box.com/shared/static/54l3b7h4q4pwqq4fgqvx42h3d328fl1c.csv<br>https://www.discoverlife.org/mp/20q/?act=x_checklist<br>https://www.discoverlife.org/mp/20q/?act=x_checklist&amp;guide=Apoidea_species&amp;flags=HAS<br>https://www.discoverlife.org/nh/id/20q/Apoidea_species.xml<br>https://www.itis.gov/downloads/itisMSSql.zip<br>https://www.nodc.noaa.gov/cgi-bin/OAS/prd/download/50418.1.1.tar.gz<br>https://zenodo.org/record/10810438/files/gbif-backbone-by-id.tsv.gz<br>https://zenodo.org/record/10810438/files/gbif-backbone-by-name.tsv.gz<br>https://zenodo.org/record/3833105/files/synonym_links.gz<br>https://zenodo.org/record/3833105/files/taxonomic_units.gz<br>https://zenodo.org/record/3833105/files/taxon_unit_types.gz<br>https://zenodo.org/record/3834881/files/taxon.tab.gz<br>https://zenodo.org/record/5222044/files/gbif-backbone-by-id.tsv.gz<br>https://zenodo.org/record/5222044/files/gbif-backbone-by-name.tsv.gz<br>https://zenodo.org/record/5526782/files/taxonCache.tsv.gz<br>https://zenodo.org/record/5526782/files/taxonMap.tsv.gz<br>https://zenodo.org/record/5639794/files<br>https://zenodo.org/record/5719410/files/taxonCache.tsv.gz<br>https://zenodo.org/record/5719410/files/taxonMap.tsv.gz<br>https://zenodo.org/record/6127573/files<br>https://zenodo.org/record/6394935/files/taxonCache.tsv.gz<br>https://zenodo.org/record/6394935/files/taxonMap.tsv.gz<br>https://zenodo.org/record/6473194/files<br>https://zenodo.org/record/6707049/files/gbif-backbone-by-id.tsv.gz<br>https://zenodo.org/record/6707049/files/gbif-backbone-by-name.tsv.gz<br>https://zenodo.org/record/7405292/files/gbif-backbone-by-id.tsv.gz<br>https://zenodo.org/record/7405292/files/gbif-backbone-by-name.tsv.gz<br>https://zenodo.org/record/7761832/files/taxonCache.tsv.gz<br>https://zenodo.org/record/7761832/files/taxonMap.tsv.gz<br>https://zenodo.org/records/10037600/files/taxonCache.tsv.gz<br>https://zenodo.org/records/10037600/files/taxonMap.tsv.gz<br>https://zenodo.org/records/10044841/files/taxonMap.tsv.gz<br>https://zenodo.org/records/10045192/files/taxonMap.tsv.gz<br>https://zenodo.org/records/10045365/files/taxonMap.tsv.gz<br>https://zenodo.org/records/12695294/files/dh21.zip<br>https://zenodo.org/records/15399237/files/dh226.zip<br>urn:example:reverse-sort.sh<br>urn:uuid:964538e0-73f3-4091-a5f4-66b3a41bb814<br>urn:uuid:d5675cd5-3edc-4dd0-8713-907cd5f910e3<br>wikidata:wikidata.json.bz2<br>worms:worms.json.gz<br></code></pre> <p><code><br><br><strong>References</strong></code></p> <p>[1] Schoch CL, et al. NCBI Taxonomy: a comprehensive update on curation, resources and tools. Database (Oxford). 2020: baaa062. doi: 10.1093/database/baaa062</p> <p>[2] Sayers EW, et al. GenBank. Nucleic Acids Res. 2019. 47(D1):D94-D99. doi: 10.1093/nar/gky989.</p> <p>[3] &nbsp;Integrated Taxonomic Information System (ITIS), www.itis.gov, doi: 10.5066/F7KH0KBK</p> <p>[4] Simplified GBIF Backbone Taxonomy. Accessed at https://hosted-datasets.gbif.org/datasets/backbone/ on 2021-08-18.</p> <p>[5] GBIF Secretariat (2021). GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2021-08-18.</p> <p>[6] Index Fungorum: Species Fungorum (2021). http://www.speciesfungorum.org</p> <p>[7] Plazi Treatment Bank (2021). https://github.com/plazi/treatments-rdf/ http://plazi.org/ .</p> <p>[8] B&aacute;nki, O., Roskov, Y., D&ouml;ring, M., Ower, G., Vandepitte, L., Hobern, D., Remsen, D., Schalk, P., DeWalt, R. E., Keping, M., Miller, J., Orrell, T., Aalbu, R., Adlard, R., Adriaenssens, E., Aedo, C., Aescht, E., Akkari, N., Alonso-Zarazaga, M. A., et al. (2022). Catalogue of Life Checklist (Version 2022-01-14). Catalogue of Life. https://doi.org/10.48580/d4tp</p> <p>[9] OpenTree et al. 2022. "Open Tree of Life Taxonomy." Accessed on 2022-11-21 at https://files.opentreeoflife.org/ott/ott3.4/ .</p> <p>[10]&nbsp;WFO (2022): World Flora Online. Published on the Internet;&nbsp;http://www.worldfloraonline.org. Accessed on: 09 Sep 2022</p> <p>[11] Dr. Nicolas J. Dowdy, Dr. Erika M. Tucker, Jorrit Poelen, Dr. Vijay Barve, Teresa Mayfield-Meyer, Kathryn Sullivan, &amp; Dr. Jennifer M. Zaspel. (2022). njdowdy/tpt-taxonomy: TPT Taxonomic Resource v2.0.0 (v2.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7215550 https://github.com/njdowdy/tpt-taxonomy/tree/d820e7e036483b48906deb5f3a62fc089f10d9e8</p> <p>[12]&nbsp;The data were downloaded from the Paleobiology Database on 26 January, 2023</p> <p>[13]&nbsp;Mammal Diversity Database. (2022). Mammal Diversity Database (1.10) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7394529</p> <p>[14] Ascher, J. S. and J. Pickering. 2024. Discover Life bee species guide and world checklist (Hymenoptera: Apoidea: Anthophila). http://www.discoverlife.org/mp/20q?guide=Apoidea_species.&nbsp;</p> <p>[15]&nbsp; WoRMS Editorial Board. (2024). World Register of Marine Species (S. Ahyong, C. Boyko, N. Bailly, J. Bernot, R. Bieler, S. Brand&atilde;o, M. Daly, S. De Grave, S. Gofas, F. Hernandez, L. Hughes, T. A. Neubauer, &amp; G. Paulay, Eds.; Version 2024-06-01). WoRMS Editorial Board, Belgium. https://doi.org/10.14284/170</p> <p>[16] Poelen, J. H. (2024). World Register of Marine Species (WoRMS) Repackaged hash://sha256/4e969a1c8243b523b093d3a05fd5f7683479c2919e7d83e8b1383c5e5ef1d4e5 hash://md5/fb7559ce707d11f96a878d8a8a79a661 (0.1) [Data set]. Zenodo.&nbsp;<a href="https://doi.org/10.5281/zenodo.12112610" rel="nofollow">https://doi.org/10.5281/zenodo.12112610</a></p> <p>[17] Encyclopedia of Life. 2022. Encyclopedia of Life Dynamic Hierarchy Data Sets. Available from&nbsp;<a href="https://opendata.eol.org/organization/about/dynamic-hierarchy" rel="nofollow">https://opendata.eol.org/organization/about/dynamic-hierarchy</a></p> <p>[18] Encyclopedia of Life. (2020). Repackaged Encyclopedia of Life (EOL) Dynamic Hierarchy (1.1) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.3834881">https://doi.org/10.5281/zenodo.3834881</a></p> <p>[19] Wikidata Community, &amp; Poelen, J. H. (2024). Wikidata Taxon Items in JSON Lines Format hash://sha256/e76276c283090381fc4b3efe28fc61c28f5bf03db0f3743f7178b999ebccada2 hash://md5/967c79ea605fda781129273a9f229eac (0.1) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.12535891">https://doi.org/10.5281/zenodo.12535891</a></p> <p>[20] Encyclopedia of Life. (2024). Repackaged Encyclopedia of Life (EOL) Dynamic Hierarchy hash://sha256/f91877189f3cd14f4066b16b693a5f93105fd23b881b0825d6781be6ac674b88 hash://md5/18ca6625cf1d24093dc104851ab5722b (2.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12695294</p> <p>[21] Schulz, K. (2025). EOL Dynamic Hierarchy version 2.2.6 [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.15399237" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.15399237</a></p>

opencc-zeroJul 2024View details →
zenodo36/100

SECS resources

Open the record for dataset details and reuse information.

openmit-licenseNov 2024View details →
zenodo36/100

S96 | ECIPFAS | Updatable List to add PFAS Structures to Public Resources from ECI (UniLu)

<p>This is the collection associated with list S96 ECIPFAS&nbsp;Updatable List to add PFAS Structures to Public Resources from ECI (UniLu) on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>This dataset is for users to contribute PFAS from the literature or other documents to the NORMAN SLE, SusDat and PubChem. Note that the role of this list is to enable the addition of new PFAS into databases and is not intended to be a comprehensive PFAS listing. The start of this collection was all PFAS entries in the S74_REFTPS dataset, which includes also legacy PFAS.</p> <p>Update 29/3/2022: Added Munoz et al data. 1/4/2022: added CIDs for new entries from 29/3. Update 03/05/2022 added new entries. 18/12: updated existing entries, corrected CID 163201609 =&gt; 166001338. Update 06/09/2025: added new entries from Jonathan Zweigle; 10/09/2025 added new CIDs.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Global Biotic Interactions: GloBI, the associations resource

Global Biotic Interactions (GloBI) provides an infrastructure and data service that aggregates or combines existing biotic interaction datasets to provide easy access to biotic interaction data.<p></p><p></p>https://eol-jira.bibalex.org/browse/DATA-1812

opennotspecifiedAug 2024View details →
dryad36/100

Genomic resources for the little pocket mouse (Perognathus longimembris longimembris)

<p>The little pocket mouse, <em class="italic">Perognathus longimembris</em>, and its nine congeners are small heteromyid rodents found in arid and seasonally arid regions of Western North America. The genus is characterized by behavioral and physiological adaptations to dry and often harsh environments, including nocturnality, seasonal torpor, food caching, enhanced osmoregulation, and a well-developed sense of hearing. Here we present a genome assembly of <em class="italic">Perognathus longimembris longimembris</em> generated from PacBio HiFi long read and Omni-C chromatin-proximity sequencing as part of the California Conservation Genomics Project. The assembly has a length of 2.35 Gb, contig N50 of 11.6 Mb, scaffold N50 of 73.2 Mb, and includes 93.8% of the BUSCO Glires genes. Interspersed repetitive elements constitute 41.2% of the genome. A comparison with the highly endangered Pacific pocket mouse, <em class="italic">P. l. pacificus</em>, reveals broad synteny. These new resources will enable studies of local adaptation, genetic diversity, and conservation of threatened taxa.</p>

opencc-zeroOct 2023View details →
dryad36/100

Data for: Reproductive tactics, birth timing and the risk-resource trade-off in an income breeder

<p><span>In variable environments, habitats that are rich in resources often carry a higher risk of predation. As a result, natural selection should favour individuals that balance allocation of time to foraging versus avoiding predation through an optimal decision-making process that maximises fitness. The behavioural trade-off between resource acquisition and risk avoidance is expected to be particularly acute during gestation and lactation when the energetic demands of reproduction peak</span><span>.</span><span> Here, we investigated how reproductive female roe deer adjust their foraging activity and habitat use during the birth period to manage this trade-off compared to non-reproductive juveniles, and how parturition date constrains individual tactics of risk-resource management. Activity of reproductive females more than doubled immediately following parturition, when energy demand is highest. Furthermore, compared to non-reproductive juveniles, they increased their exposure to risk by using open habitat more during daytime and ranging closer to roads. However, these post-partum modifications in behaviour were particularly pronounced in late-parturient females who adopted a more risk-prone tactic, presumably to compensate for the growth handicap of their late-born offspring. In income breeders, individuals that give birth late may be constrained to trade risk avoidance for foraging during peak allocation to reproduction, with probable consequences for individual fitness.</span></p>

opencc-zeroOct 2023View details →

ScienceDex guides

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Allen Brain Atlas

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allen-brain-atlas
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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.
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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

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