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4,481 results for “list”
List of overlay journals
<p>This is a listing of known overlay journals that organise peer-review on top of preprints.</p> <p>In this dataset are the following attributes of each journal:</p> <p>* Name of journal</p> <p>* ISSN of journal (if it has one)</p> <p>* the preprint server or repository that manuscripts are placed-on for review by the overlay journal</p> <p>* the discipline the journal covers</p> <p>* the URL of the journal</p> <p>* the number of articles the journal published in 2020</p> <p>* the year the journal commenced publishing</p> <p>* and a few other notes...</p>
CLDF dataset derived from List and Prokić's "Benchmark Database of Phonetic Alignments" from 2014
<p>Cite the source of the dataset as:</p> <blockquote> <p>List, Johann-Mattis and Jelena Prokić. (2014). A benchmark database of phonetic alignments in historical linguistics and dialectology. In: Proceedings of the International Conference on Language Resources and Evaluation (LREC), 26 — 31 May 2014, Reykjavik. 288-294.</p> </blockquote>
CLDF dataset derived from List et al.'s "Database of Cross-Linguistic Colexifications (Version 1.0)" from 2014
<p>Cite the source of the dataset as:</p> <blockquote> <p>List, Johann-Mattis, Thomas Mayer, Anselm Terhalle, and Matthias Urban (2014). CLICS: Database of Cross-Linguistic Colexifications. Marburg: Forschungszentrum Deutscher Sprachatlas (Version 1.0).</p> </blockquote>
S69 | LUXPEST | Pesticide Screening List for Luxembourg
<p>This is the collection associated with list S69 LUXPEST Pesticide Screening List for Luxembourg 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>A pesticide screening list for Luxembourg, compiled from multiple sources by Jessy Krier, uni.lu. Dataset DOI: 10.5281/zenodo.3862688.</p> <p>NOTE: the presence of pesticides on this list means that they are potentially relevant for Luxembourg and surrounding regions, but does not imply that they have been detected in Luxembourg. This list has been compiled to enable the efficient screening of data using the background knowledge contained within this list.</p> <p>The sources used were:</p> <p>Classification links & Authorization in Luxembourg</p> <p>https://ec.europa.eu/food/plant/pesticides/eu-pesticides-database/public/?event=activesubstance.selection&language=EN</p> <p>https://sitem.herts.ac.uk/aeru/bpdb/search.htm</p> <p>https://sitem.herts.ac.uk/aeru/ppdb/en/search.htm<br> <br> Origin:</p> <p>ASTA: https://saturn.etat.lu/tapes/tapes_de_lst_pdt.jsp?sel=_</p> <p>SWISSPEST16: https://comptox.epa.gov/dashboard/chemical_lists/swisspest</p> <p>Structure mapping: CompTox Batch Search with CID mapping via PubChem; InChIs were generated from SMILES by OpenBabel. MS_READY SMILES were used for mass spectral screening; parent forms were used for structural information and to map classification content.</p> <p>Update 29/7/2021: TP permission information updated.<br> </p>
CLDF dataset accompanying List and Forkel's "Borrowing Detection in Multilingual Wordlists" from 2021
<p>Cite the source of the dataset as:</p> <blockquote> <p>List, Johann-Mattis and Forkel, Robert (2021): Automated identification of borrowings in multilingual wordlists. Leipzig: Max Planck Institute for Evolutionary Anthropology.</p> </blockquote>
List of validated primers of gilthead sea bream (Sparus aurata) and European seabass (DIcentrarchus labrax) developed in PerformFISH project (D2.3)
<p>The document contains all the primers identified for the screening of genes tested for their potential as biomarkers to predict quality performance in gilthead sea bream and European sea bass larvae and juveniles in the context of PERFORMFISH (WP2). The spreadsheet has the following information: Pathway, phisiologic process in which the gene is involved; name of protein that gene produces; gene code; acession nº, code given in the consulted databases and the sequence extracted for primer design; FW and RV primer, forward and reverse primer sequence specific for target gene; melt temperature, optimized temperature that primers work at ; amplicon size, size in base pairs of the product produced with the primers; eff%, efficency of primers; r2; source, the origin of the primers, "in house" or "literature" (including available DOI. Each pair of primers are classified using a "traffic light" system indicating their validation status.</p>
List of Paris Bibles in the World
<p>This dataset was built in the context of the Paris Bible Project (https://parisbible.github.io/).</p> <p>It lists libraries, archives and museums holding manuscripts of medieval Latin Bibles known as Paris Bibles, as well as relevant metadata. </p>
Ben Johnston: Five Fragments: List of differences
<p>Compared to the autograph, Ben Johnston made numerous pitch corrections in the version printed in 1975. </p> <p><strong>Note concerning the first movement</strong></p> <p>Corrections compared to the clean copy of the score (Evanston):</p> <ul> <li>orange = increase by 1 syntonic comma</li> <li>red = increase by 2 syntonic commas</li> <li>green = deepening by 1 syntonic comma </li> </ul>
List of data journals
<p>This document describes a dataset that aggregates information about 135 data journals.<br> Data journals focus on the publication of data papers -- a specialized publication type describing datasets, their collection and reuse potential that is peer-reviewed, citable and indexed.<br> This dataset includes a comprehensive list of data journals that was compiled by aggregating existing sources, as well as an overview of these sources.</p> <p> </p> <p>The list is continually updated on GitHub, where additional information on data journals (URLs of data journal homepages) is provided: <a href="https://github.com/MaxiKi/data-journals">https://github.com/MaxiKi/data-journals</a></p>
Lists of magnetopause and bow shock crossings, as measured by Juno/Waves and Juno/MAG.
<p>Lists of magnetopause (boundary_crossings_caracteristics_MP.pdf, boundary_crossings_caracteristics_MP.csv) and bow shock crossings (boundary_crossings_caracteristics_BS.pdf, boundary_crossings_caracteristics_BS.csv), as measured by Juno/Waves and Juno/MAG (see below to download the files).</p> <p><br> For each crossing, number of the crossing (MP#), day of the year (DOY), date (year/month/day format) and time (hours:minutes format) are indicated, as well as the boundary crossed (magnetopause in this case), the direction of the crossing (in: from the magnetosphere to the magnetosheath; out: from the magnetosheath to the magnetosphere). The column “Notes” indicates whether the magnetopause has potentially not been completely crossed (see Fig. 1c of the article). Position of the crossings are given in the Cartesian JSS (Jupiter-­‐De-­Spun-­Sun) and IAU (International Astronomical Union) coordinate systems, and IAU spherical coordinates system. Finally, the dynamic pressure of the solar wind, and the standoff distance of the magnetopause and the bow shock, derived from the model of Joy et al. (2002), are given in the last three columns.</p> <p>header = ['#', "Day of Year", "Date (year/month/day)", "Time (HH:MM)", "Boundary", "In/Out", "Notes", "x (JSS)", "y (JSS)", "z (JSS)", "x (IAU)", "y(IAU)", "z (IAU)", "r (IAU)", "theta (IAU)", "phi (IAU)", "Dynamic Pressure (nPa)", "Magnetopause Standoff Distance (Jovian radius)", "Bow Shock Standoff Distance (Jovian radius)"]</p> <p>A python function to read the lists is provided (read_boundary_crossings_list.py).</p> <p>Example:</p> <pre><code class="language-python">from read_boundary_crossings_list import * (header, indice, date, boundary, direction_crossing, notes, xyz_jss, xyz_iau, rtp_iau, pdyn, standoff_dist_mp, standoff_dist_bs) = read_boundary_crossings_list("boundary_crossings_caracteristics_MP.csv")</code></pre> <p> </p> <p>This dataset is linked to the following publication: Louis, C. K., Jackman, C. M., Hospodarsky, G., O’Kane Hackett, A., Devon-Hurley, E., Zarka, P., et al. (2023). Effect of a magnetospheric compression on Jovian radio emissions: In situ case study using Juno data. Journal of Geophysical Research: Space Physics, 128, e2022JA031155. <a href="https://doi.org/10.1029/2022JA031155">https://doi.org/10.1029/2022JA031155</a></p>
S99 | ANSESEDC | List of potential endocrine disrupting compounds (EDCs) from ANSES
<p>This is the collection associated with list S99 ANSESEDC List of potential endocrine disrupting compounds (EDCs) from ANSES 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>A list of 908 potential endocrine disrupting compounds (EDCs) from <a href="https://www.anses.fr/en">ANSES, the French Agency for Food, Environmental and Occupational Health & Safety</a> to be assessed for their <a href="http://(https://www.anses.fr/en/content/accelerating-assessment-endocrine-disruptors)">endocrine disrupting properties under France’s Second National Endocrine Disruptor Strategy (SNPE 2)</a>. Endocrine disruptors (EDs) are substances that interfere with the hormonal functions of humans and animals. List kindly provided by Sandrine Andres, INERIS. <br> </p>
Phytoplankton list of taxa and cell biovolume from a subtropical coastal lagoon, South America
<p>We share information about the phytoplankton community from a subtropical coastal lagoon, Laguna de Rocha, a Biosphere Reserve, located in Uruguay, South America (34°37'60" S, 54°18'0" W). The lagoon is ~ 72 km2 with a mean depth of 0.5 m, and is characterized by a strong South-North salinity gradient that reflects its intermittent connection to the Atlantic Ocean (in the South). The lagoon has been subject to eutrophication in the last several decades. The dataset presented here belongs to the publication of Bonilla et al., 2005 (doi.org/10.1007/BF02696017). We present the complete list of phytoplankton taxa identified in a survey (1996-2000) for two sites, South and North, locations described in figure 1 (Bonilla et al., 2005). We also presented the cellular linear measurements and the cell biovolume of the most representative taxa. We believe these data are useful for the scientific community interested in phytoplankton dynamics, diversity and calculation of biomass (biovolume).</p>
Lists of Karakalpak Stopwords
<p>The dataset presents 3 lists of stopwords in the Karakalpak language. The lists were constructed using three automatic methods applied to the same corpus. </p> <p>The corpus was constructed by obtaining a source of 23 school textbooks, it was named "Karakalpak School Corpus". The corpus can be re-constructed using the list of urls of all files comprised in the corpus. The list is part of the dataset (list_of_urls_for_karakalpak_school_corpus.txt).</p> <p>Description of the methods and the lists:</p> <p>A set of grammar rules and the TDIDF algorithm were used to automatically collect a list of single-word stopwords. 4014 stopwords were collected. The name of the file: Karakalpak_stopwords_unigrams.txt.</p> <p>A bigram method was used to extract a list of 3740 bigrams (pairs) of stopwords. The name of the file: Karakalpak_stopwords_bigram.txt.</p> <p>A set of two-word collocations as stopwords was also extracted. The list has 20745 pairs of stopwords. The name of the file: Karakalpak_stopwords_bigrams_with_collocations.txt.</p>
S26 | MYCOTOXINS | List of Mycotoxins from AAFC
<p>This is the collection associated with list S26 MYCOTOXINS on the NORMAN Suspect List Exchange (<a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a>).</p> <p>S26 | MYCOTOXINS |<strong>List of Mycotoxins from AAFC</strong></p> <p>A list of mycotoxins and fungal secondary metabolites provided by Justin Renaud and Mark Sumarah (Agriculture and Agri-Food Canada / Government of Canada).</p> <p>Edits: v0.1.1: removed one InChI in name column (25 Mar 2023).</p>
Global Biodiversity Information Facility (GBIF): an exhaustive list of gbif record ids, dataset keys, and their associated Occurrence IDs, Institution Code, Collection Codes and Catalog Numbers. hash://sha256/ea88f03a7bfd1ba853fdbea3203d54ab81ac3cdc8e8da7c96bbbba9c4b05d933 hash://md5/c49fe34785354847b37ea4509261e130
<p>The Global Biodiversity Information Facility (GBIF) indexes thousands of biodiversity datasets from Natural History Collections, citizen science initiatives (e.g., iNaturalist, eBird), and other sources. As part of the index process, GBIF associates at least two identifiers with indexed records: a record id (aka gbifID) and a dataset id (aka dataset key). These ids are central to do lookup, reference data, and package interpreted data products.</p> <p>This publication contains an exhaustive list of GBIF IDs and ids associated by their data providers as derived from:</p> <p>GBIF.org (01 March 2023) GBIF Occurrence Download https://doi.org/10.15468/dl.pk3trq</p> <p>The resource (size: ~260GB) provided by GBIF had content id hash://sha256/c8bac8acb28c8524c53589b3a40e322dbbbdadf5689fef2e20266fbf6ddf6b97 and was used to generate the resource included in this publication using</p> <pre><code class="language-bash">preston cat 'zip:hash://sha256/c8bac8acb28c8524c53589b3a40e322dbbbdadf5689fef2e20266fbf6ddf6b97!/0015281-230224095556074.csv'\ | cut -f 1,2,3,37,38,39\ | gzip\ > gbifid.tsv.gz </code></pre> <p>with the content id of gbifid.tsv.gz (size: ~35GB) being hash://sha256/a339e32e10edaad585f61f2ded06cbb23e0618c65a6360db18d7d729054940a8 .</p> <p>the first 10 lines of gbifid.tsv.gz as extracted via</p> <pre><code>preston cat --remote https://zenodo.org/record/7789866/files,https://linker.bio hash://sha256/a339e32e10edaad585f61f2ded06cbb23e0618c65a6360db18d7d729054940a8\ | gunzip\ | head</code></pre> <p>are:</p> <pre><code>gbifID datasetKey occurrenceID institutionCode collectionCode catalogNumber 2997162320 c71c8000-9fc7-422c-804a-ce6abe751771 3399442 CEPEC CEPEC CEPEC00109669 2997162309 c71c8000-9fc7-422c-804a-ce6abe751771 2733085 CEPEC CEPEC CEPEC00000818 2997162317 c71c8000-9fc7-422c-804a-ce6abe751771 2733086 CEPEC CEPEC CEPEC00000888 2997162313 c71c8000-9fc7-422c-804a-ce6abe751771 3399443 CEPEC CEPEC CEPEC00109744 2997162306 c71c8000-9fc7-422c-804a-ce6abe751771 2733087 CEPEC CEPEC CEPEC00000889 2997162316 c71c8000-9fc7-422c-804a-ce6abe751771 3399440 CEPEC CEPEC CEPEC00109605 2997162324 c71c8000-9fc7-422c-804a-ce6abe751771 2733088 CEPEC CEPEC CEPEC00000890 2997162308 c71c8000-9fc7-422c-804a-ce6abe751771 3399441 CEPEC CEPEC CEPEC00109615 2997162303 c71c8000-9fc7-422c-804a-ce6abe751771 2733089 CEPEC CEPEC CEPEC00000891</code></pre> <p>Note that at time of writing, the html resource associated with the occurrence id 2997162320, and data set key c71c8000-9fc7-422c-804a-ce6abe751771 (extracted from of the first data row example above) are available via:</p> <p>https://gbif.org/occurrence/2997162320</p> <p>and</p> <p>https://gbif.org/dataset/c71c8000-9fc7-422c-804a-ce6abe751771</p> <p>respectively.</p> <p>This resource was initially created to help integrate with Bionomia (https://bionomia.net) to help associate people identifiers provided by bionomia to their original records via their GBIF ids. Bionomia re-uses GBIF records ids as a way to define links between records and the people (e.g., curators, collectors, identifiers) that worked on them. </p> <p>In other words, this resource provides a versioned translation table from the GBIF data universe (as defined by GBIF record ids, and dataset keys) to the data collections that exist (and evolve) independent of it. </p> <p>Note that the resource identified by hash://sha256/c8bac8acb28c8524c53589b3a40e322dbbbdadf5689fef2e20266fbf6ddf6b97 was not included in this publication it was too big (260GB) to fit. You may be able to retrieve the resource from its original location at https://api.gbif.org/v1/occurrence/download/request/0015281-230224095556074.zip .</p>
S105 | P65CHEM | Californian Proposition 65 warning list of chemicals
<p>This is the collection associated with list S105 P65CHEM Californian Proposition 65 warning list of chemicals 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>A list of chemicals known to cause cancer, birth defects or reproductive toxicity published by the California Environmental Protection Agency (CalEPA)'s Office of Environmental Health Hazard Assessment (OEHHA) on their <a href="http://www.p65warnings.ca.gov/">Proposition 65 warnings website</a> to provide the public with information on associated chemicals, products and places .This annually revised and republished list aims to enable Californians to make informed decisions about their exposures to these chemicals and prohibit Californian businesses from knowingly discharging significant amounts of them into sources of drinking water.</p> <p><br> Thanks to Ben Shoemaker from <a href="https://www.ncbi.nlm.nih.gov/">National Center for Biotechnology Information</a> NCBI for suggesting this list.</p>
Supplementary material: Sagart 250-concept list for Caijia
<p>The word list is a supplementary material for the article "Phonological Features of Caijia that are Notable from a Diachronic Perspective" published in the <em>Journal of Historical Linguistics</em>. </p> <p>If you use this word list, please cite the original paper:</p> <p>Lee, Man Hei. 2023. Phonological Features of Caijia that are Notable from a Diachronic Perspective. <em>Journal of Historical Linguistics</em> 13:1. 82-114.</p> <p> </p>
Cypherpunks Mailing List (merge 1992-2023/03)
<p>Merged dataset with cypherpunks mailing list </p> <p>Data source: <a href="https://github.com/cryptoanarchywiki">https://github.com/cryptoanarchywiki</a></p> <ul> <li>1992-2000: <a href="https://mailing-list-archive.cryptoanarchy.wiki/">https://mailing-list-archive.cryptoanarchy.wiki/</a> / <a href="https://cypherpunks.venona.com/raw/">https://cypherpunks.venona.com/raw/</a> (228 MB| 98807 mails)</li> <li>2000-2016: <a href="https://github.com/cryptoanarchywiki/2000-to-2016-raw-cypherpunks-archive">https://github.com/cryptoanarchywiki/2000-to-2016-raw-cypherpunks-archive</a> (246,7 MB | /92193 mails)</li> <li>July 2013 to Present/March 2023: <a href="https://lists.cpunks.org/pipermail/cypherpunks/">https://lists.cpunks.org/pipermail/cypherpunks/</a> (1206 MB | 65795 mails)</li> </ul> <p>Last version (511.6 MB) with all metadata:</p> <p>from_address = msg['From']</p> <p>to_address = msg['To']</p> <p>message_id = msg['Message-ID']</p> <p>date = msg['Date']</p> <p>subject = msg['Subject']</p> <p>in_reply_to = msg['In-Reply-To']</p> <p>mime_version = msg['MIME-Version']</p> <p>content_type = msg['Content-Type']</p> <p>body = msg.get_payload()</p> <p> </p>
S17 | KEMIMARKET | KEMI Market List
<p>This is the collection associated with list S17 KEMIMARKET 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>S17 : KEMIMARKET: <strong>KEMI Market List</strong></p> <p>Provided by Stellan Fischer, KEMI including Hazard and Exposure scores, documented <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/MarketList_Documentation_25July2017.docx">here</a>. Curated by Reza Aalizadeh, University of Athens and Emma Schymanski, UniLu. </p> <p>Nov 14 2019 update: added CSV of latest file. Nov 21 Update: fixed 3 truncated InChIKeys in CSV and InChIKey file. Feb 6, 2020: fixed SMILES issues in CSV for PubChem import. Jul 24, 2020: fixed two synonyms based on feedback from PubChem for GFMHHNOUDDHEOO-UHFFFAOYSA-N and LAUVMIDRJMQUQL-UHFFFAOYSA-N. 17 July 2022: fixed several SMILES errors in CSV, updated IK file for PubChem deposition. 18 July 2022: fixed truncated SMILES that failed PubChem standardization (LCTORFDMHNKUSG-GJHKVECASA-N). 18 Jun 2023: fixed two SMILES that failed PubChem deposition for ILENATNBFPBMHG-UHFFFAOYSA-N and NOESYZHRGYRDHS-ZYCCASTOSA-N, plus one that failed standardization (JBEHRBTVEGZLAF-UHFFFAOYSA-N).</p>
Dataset: Swarms in Central Utah – event detection lists, arrival picks, relocations & moment tensor solutions
<p>Dataset containing results of moment tensor inversions, relocations and event detections for our study "Petersen & Pankow (2023): Small-magnitude seismic swarms in Central Utah: Interactions of regional tectonics, local structures and hydrothermal systems" (<a href="https://doi.org/10.1029/2023GC010867">https://doi.org/10.1029/2023GC010867</a>).<br>Please read the pdf-README file for more information on the dataset.</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.