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31 results for “name authorities”
A Standardized Review of Bat Names Across Multiple Taxonomic Authorities
<p>The Bat Eco-Interactions Working Group, in collaboration with GBatNet and the international Bat Taxonomy Group, developed the <strong>Bat Taxonomic Alignment (BTA)</strong> to reconcile taxonomic discrepancies across currently recognized bat species. As knowledge of bat population structure and evolutionary history advances, taxonomic boundaries and species names are frequently revised. To address these changes, the BTA integrates data from ten leading taxonomic authorities and consolidates relationships, synonyms, and historic combinations for over <strong>1,480 valid bat species</strong> across <strong>1,680 taxonomic treatments</strong>.</p> <p>This open-access, searchable tool provides a time-calibrated inventory of Chiroptera taxonomy, documenting valid names, alternative names, subspecies, and synonymies. By aligning these classifications, the BTA enables users to identify unharmonized binomials and trace nomenclatural changes over time. It promotes taxonomic clarity critical for research, biodiversity assessments, and conservation planning, where misidentified or misaligned taxa can lead to gaps in knowledge, resource misallocation, or overlooked species. The BTA thus represents a foundational advancement in bat biodiversity informatics, emphasizing transparency, data provenance, and interoperability across digital taxonomic frameworks.</p> <p> </p>
LSPO: A Large-Scale Physics ORCiD-Linked Dataset for Author Name Disambiguation
<p>The LSPO dataset, a Large-Scale Physics ORCiD-Linked Dataset for Author Name Disambiguation is comprised of 554,962 NASA/ADS publications linked to 125,486 unique researchers through ORCiD identifiers. The available meta-data fields are: ORCiD identifier, author name, affiliation, title, asbtract, and name block. The dataset can be utilized to make pairs or triplets for training a author name disambiguation model. </p>
List of articles resulting from the Google Scholar search "graph based author name disambiguation" published after 1/1/2021
<p>This dataset contains the list of articles resulting from the Google Scholar search “graph based author name disambiguation” published after 1/1/2021. The list is provided for reproducibility of the survey article “Graph-based Methods for Author Name Disambiguation: A Survey” and it was obtained using the following Python script available at <a href="https://github.com/WittmannF/sort-google-scholar">https://github.com/WittmannF/sort-google-scholar</a>:</p> <blockquote> <p>$ python sortgs.py --kw “graph based author name disambiguation” --startyear 2021</p> </blockquote> <p>The command returned the CSV file that contains the first 94 publications matching the query (articles with corrupted metadata have been excluded), each with metadata about Title, Number of Citations, and Rank. The CSV contains a column that specified which articles have been eventually selected for the survey.</p>
Characterization of a loss-of-function NAPB mutation in monozygotic triplets affected with epilepsy and autism using cortical neurons from proband-derived and CRISPR-corrected iPSC lines. Author names and affiliations
<p>RNA-seq data of matured cortical neurons (8-weeks old) derived from induced pluripoent stem cells (iPSC). There are three replicates (Rep1, Rep2, Rep3) for each sample with Forwad read (R1_001.fastq.gz) and reverse read (R2_001.fastq.gz).</p> <p>CtrlF: Control Father sample</p> <p>CtrlM: Control mother sample</p> <p>NDD_01: Proband sample</p> <p>NDD_04: Proband sample</p> <p>NDD_05: Proband sample</p>
Figs 1-3 in Nomenclatural notes on two species of Nicrophorus FABRICIUS (Coleoptera, Staphylinidae, Silphinae, Nicrophorini) named in a publication authored by Johann Dietrich Herschel
Figs 1-3: Historical labels and inventory records. (1) Label of the presumed holotype of Nicrophorus pustulatus from the former Hellwig-Hoffmansegg Collection, with the associated number referring to the third inventory in Fig. 3; (2) label associated with specimens of Necrodes surinamensis received at ZMUG with the Reussmann Collection in 1848; (3) records 7285-7290 in the third inventory of the historical MfNB Coleoptera collection. Images 1 and 3 by B. Jaeger (MfNB), image 2 by G. Heinemann (ZMUG).
An enhanced author name dataset for PubMed/MEDLINE
<p>The incompleteness of author names is a well-known issue in the MEDLINE database. It was since 2002, the full author name has been systematically indexed in MEDLINE. Although many full author names have been added to MEDLINE, we still found a significant number of abbreviated names in papers published after 2002.</p> <p>Here we built an enhanced author name dataset for MEDLINE, called EAN, achieved by linking the whole PubMed to other large literature databases and conducting a large-scale name comparison and restoration with obtained multi-sources author names. Our evaluation shows that more than 90% of author names in EAN are complete as compared to the ratio of ~60% in MEDLINE.</p>
CHEN-AND: A Labeled Dataset for Chinese and English Joint Author Name Disambiguation
<p>Abstract: Author name disambiguation (AND) is an important problem in literature databases and is even more prominent in the cross-language (database) context. Extensive research has been conducted in the academic community to eliminate such ambiguity. However, the existing research mainly focuses on monolingual literature, with less attention paid to author disambiguation in cross-language environments. In this regard, this study focuses on a typical cross-language author disambiguation task - Chinese and English joint author disambiguation. We first propose an automated dataset construction method for Chinese-English literature joint AND using online open resources, with this method, we create a dataset named CHEN-AND for joint Chinese and English author disambiguation. Then we propose a merging-first-then-disambiguation (MFTD)--based disambiguation framework and evaluate several variants of this method on the test dataset. For details on building this dataset, please refer to <a href="https://github.com/carmanzhang/CHEN-AND">this repository</a> on my GitHub page.</p>
FIG. 2 in Status of Early 19th-Century Names Authored in Parallel by Wied and Schinz for South American Reptiles and Amphibians, with Designations of Three Nomina Protecta
FIG. 2. Cnemidophorus nativo Rocha et al., 1997, a Brazilian lizard discovered in 1818 by Prince Maximilian zu Wied. The earlier names Lacerta cyanomelas Schinz, 1822, and Teius cyanomelas Wied, 1824 (1822–1831) are qualified herein as forgotten names (nomina oblita), whereas Cnemidophorus nativo is qualified as a protected name (nomen protectum). Top: The original Abbildungen illustration of Teius cyanomelas Wied, reproduced ×1.38 from a composite plate (Wied, 1824 [1822–1831], Lief. 5). The plate was prepared from an artist's copy of Wied's pen-and-watercolor field sketch, in which the background was a horizontal line. The accompanying letterpress text includes "Rücken schwarz, mit einem breiten bläulichen Längsstreif in der Mitte, und zwei weissbläulichen schmäleren an der Seite [Back black, with a wide bluish median stripe, and two narrower bluish white lateral stripes]." Bottom: A specimen of Cnemidophorus nativo from Restinga do Barra Seca, Linhares, state of Espirito Santo, Brazil. The extent of color variation is unknown, but Rocha et al. (1997: 378) wrote that the median "light salmon stripe... continues mostly as light grey and/or light blue [emphasis added] along the dorsal region of tail" and "vivid white" lateral stripes.
FIG. 1 in Status of Early 19th-Century Names Authored in Parallel by Wied and Schinz for South American Reptiles and Amphibians, with Designations of Three Nomina Protecta
FIG. 1. "Die Borckische Eidechse," a lizard described in 1809 by Blasius Merrem and much later given the Latin name Centropyx borckiana by Wilhelm Peters. Hoogmoed (1973: 292–293) cleared up confusion associated with the name of this species, which currently is known as the Guayanan Kentropyx borckiana (Peters, 1869). The dorsal surfaces probably were partially green in life, the blue color resulting from preservation in spirits. (Hand-painted plate reproduced ×0.90 from Merrem, 1809, courtesy of Harvard University Botany Libraries.)
LAGOS-AND: A Large Gold Standard Dataset for MAG/OpenAlex Author Name Disambiguation
<p>We present a large gold standard dataset for author name disambiguation (AND) research (LAGOS-AND), which contains two sub-datasets, LAGOS-AND-BLOCK and LAGOS-AND-PAIRWISE. The datasets were automatically built by using the two authoritative sources, ORCID and DOI, based on the ORCID open database and an open literature database (MAG or OpenAlex).</p> <p>The currently available versions of the LAGOS-AND datasets are:</p> <ol> <li><strong>Version 1.0 (MAG+ORCID)</strong>: This is the initial version of the LAGOS-AND dataset, the evaluation results and quality control measures of this version dataset can be found in this paper <a href="https://arxiv.org/abs/2104.01821">https://arxiv.org/abs/2104.01821</a>.</li> <li><strong>Version 2.0 (OpenAlex+ORCID)</strong>: This version builds on OpenAlex instead of MAG because MAG was discontinued on 31 December 2021, and OpenAlex not only positions itself as a drop-in replacement for MAG but also keeps evolving by aggregating academic resources from other repositories. In addition, the pairwise-based sub-dataset (LAGOS-AND-PAIRWISE v2.0) improves the accuracy of labeled authorship (class label) as compared to LAGOS-AND-PAIRWISE v1.0.</li> </ol> <p>Note that there are other versions of the dataset, which we call "pre-release". We recommend users to use the normal version of the dataset. These pre-release versions were originally intended to be released as the normal versions. However, during the preparation of the research paper, we found an issue with the dataset and the reviewers also made some reasonable requests for the dataset. This led us to update the dataset. Unfortunately, the Zenodo platform does not allow updates to the same version of dataset, so we had to create new versions. The created pre-release datasets are as follows:</p> <ol> <li><strong>Version 2.0-alpha</strong>: For few samples in LAGOS-AND-PAIRWISE, the class labels are incorrect. We improve the accuracy of the class label in the normal Version 2.0 dataset by using a better random sampling approach.</li> <li><strong>Version 1.0-beta</strong>: We created this version because a sub-dataset of this version LAGOS-AND-PAIRWISE contains only ~500K author pairs, while it should contain ~1M author pairs, as described in our paper. We fixed the problem in the Version 1.0 dataset.</li> <li><strong>Version 1.0-alpha</strong>: The earliest dataset uploaded to Zenodo, corresponding to the original dataset before addressing the reviewers' comments and suggestions. In contrast, the dataset in Version 1.0 is the dataset after the reviewers' comments and suggestions have been addressed.</li> </ol>
OpenAlex Author Name Disambiguation V3 Data - Disambiguation Model
<p>5 Separate files used in the OpenAlex (https://openalex.org) V3 Author Name Disambiguation Model Creation:</p> <ol> <li>ORCID_hard_negative_pairs: Pairs of ORCIDs where either the full name, family name, or given name are a match and would therefore be more difficult to disambiguate.</li> <li>Disambiguator_all_possible_training_data: Dataset created which contains all possible features for modeling and all possible samples of data. Eventually, this was split into train/val/test and also processed more to create a better balance of positive to negative samples for our purposes.</li> <li>Disambiguator_final_train_data: Final data which the disambiguator was trained on.</li> <li>Disambiguator_final_val_data: Data which was used to test the model during training to optimize the features/hyperparameters chosen.</li> <li>Disambiguator_final_test_data: Final dataset which gave model performance indication after all hyperparameters were tuned and features were chosen.</li> </ol> <p>More details can be found at https://github.com/ourresearch/openalex-name-disambiguation</p>
Gendered Author List International Plant Names Index 2023
<p>Included to provide a reference for a WikiData editor to add this information to all IPNI id's in WIkiData so that it is maintained by the community and more reusable. <br>The data has been largely updated for publication of <i>2023</i> Making the taxonomic effort: acknowledging female role models in botanical and mycological taxonomy. The Linnean Special Issue 10: 44-59. and for an upcoming paper: Creating a multi-linked dynamic dataset: a case study of plant genera named for women. Biodiversity Data Journal. However, it will not contain names entered after about 2020 since the paper was in submission for a few years due to Covid.</p>
AMiner-534K: Knowledge Graph of AMiner benchmark for Author Name Disambiguation
<p>This dataset is a knowledge graph extracted from a <a href="https://static.aminer.cn/misc/na-data-kdd18.zip">AMiner benchmark</a> for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graph are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see <a href="https://arxiv.org/abs/1802.00934">arXiv:1802.00934</a>). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy</em>. The file <em>and_eval</em><em>.json </em>contains the evaluation dataset used for evaluating our AND architecture. For the script used to gather this dataset see the GitHub repository: <a href="https://github.com/sntcristian/and-kge/tree/main/aminer">https://github.com/sntcristian/and-kge/tree/main/aminer</a>.</p>
Dataset for paper: " Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals"
<p>This dataset consists in two distinct scholarly knowledge graph created from two publicly available bibliographic datasets: 1) a triplestore covering information about the journal <em>Scientometrics</em> provided by <em>OpenCitations</em> (available <a href="https://doi.org/10.5281/zenodo.5151264">here</a>), and 2) the <em>AMiner </em>AND benchmark from 2018 available <a href="https://static.aminer.cn/misc/na-data-kdd18.zip">here</a>. This KG was extracted for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graphs are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see <a href="https://arxiv.org/abs/1802.00934">arXiv:1802.00934</a>). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy </em>in order to simplify the representation learning task. The file <em>and_eval.json</em> of each KG contains the evaluation dataset used for evaluating our AND architecture. For the script used to gather this dataset see <a href="https://github.com/sntcristian/and-kge/tree/main/src/AMiner-534K">https://github.com/sntcristian/and-kge/tree/main/src/AMiner-534K</a> and <a href="https://github.com/sntcristian/and-kge/tree/main/src/OC-782K">https://github.com/sntcristian/and-kge/tree/main/src/OC-782K</a>.</p>
Author Name Disambiguation using Markov Chain Monte Carlo (MCMC)
<p>This repository contains the files processed from the <a href="https://zenodo.org/record/5675801#.Y2APcOzMJhE">Aminer-534K</a> Knowledge graph for the master's thesis on Author Name Disambiguation.</p>
CSV Dataset Files and JSON OpenRefine Recipes for Alignment of the Schoenberg Dataset of Manuscripts (SDBM) Name Authority with Wikidata
<p>Dataset CSVs and JSON recipe files for OpenRefine for a project to align Name Authority records in the Schoenberg Dataset of Manuscripts (SDBM) with Wikidata Items</p>
OpenAlex Author Name Disambiguation V3 Initial Clusters
<p>Author name disambiguation V3 initial clusters for the OpenAlex dataset. See <a href="https://openalex.org">https://openalex.org</a></p> <p>There are 633803287 rows, split into 4 CSV (comma-delimited) files (with headers).</p> <p>The CSV files have two columns: "work_author_id" and "author_id"</p> <p>"work_author_id": An OpenAlex Work ID and an author sequence number, joined with an underscore ("_")</p> <p>"author_id": An OpenAlex Author ID, representing a unique author in OpenAlex</p>
SCAD-zbMATH-01 Open Access Data Set for Author Name Disambiguation (AND) (Enhanced Version)
<p>This data set contains disambiguated publication data from zbMATH (www.zbmath.org) for use in author name disambiguation (AND). It covers 28321 publications with 33810 authorship records, authored by 2946 distinct authors. Authorship records have been manually annotated with author identifiers.</p> <p>This download includes additional data sets for advanced, selective disambiguation.</p> <p>For details, see "Mark-Christoph Müller, Florian Reitz, and Nicolas Roy (2017): Data Sets for Author Name Disambiguation: An Empirical Analysis and a New Resource", Scientometrics, doi:10.1007/s11192-017-2363-5.</p> <p> </p>
Artibeus gnomus is placed in Dermanura by some authors, but itis reassigned to Artibeus (subgenus Dermanura) after reinterpretation of molecular results. Before its description, some populations were referred to as A. pumilio, although that name is now associated with A. glaucus. Monotypic. Distribution. South America, E of Andes, including E Venezuela, the Guianas, E Colombia, E Ecuador, E Peru, Bolivia, and Brazil. in Phyllostomidae
Artibeus gnomus is placed in Dermanura by some authors, but itis reassigned to Artibeus (subgenus Dermanura) after reinterpretation of molecular results. Before its description, some populations were referred to as A. pumilio, although that name is now associated with A. glaucus. Monotypic. Distribution. South America, E of Andes, including E Venezuela, the Guianas, E Colombia, E Ecuador, E Peru, Bolivia, and Brazil.
FIGURE. Authors (or co-authors) of more than five currently accepted specific and infraspecific cycad taxa (author abbreviations follow Calonje et al. 2022). in Etymological compendium of cycad names
FIGURE. Authors (or co-authors) of more than five currently accepted specific and infraspecific cycad taxa (author abbreviations follow Calonje et al. 2022).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.