cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6067/xcv8gx4db3
title: Coding sheet for Recovery (Modoc Rock Shelter, IL (11R5)-1956 West Shelter Gastropod dataset)
DOI: 10.6067/xcv8hd7xfd
title: Coding sheet for Context Type (Weber I Middle Archaic faunal dataset)
DOI: 10.6067/xcv8k0762c
title: Coding sheet for Taxon (Bear Creek (20SA1043), MI Middle Archaic)
DOI: 10.6067/xcv8m61n2t
title: Coding sheet for Unit (Weber I Middle Archaic faunal dataset)
DOI: 10.6067/xcv8n87ckm
title: Coding sheet for Site Type (20BY28 faunal dataset)
DOI: 10.6067/xcv8nk3gtm
title: Coding sheet for Site Type (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv8pk0hxp
title: Hegmon et al. Mimbres Pottery Designs in their Social Context Database
DOI: 10.6067/xcv8q2420d
title: Coding sheet for Quad (Bear Creek (20SA1043), MI Late Archaic)
DOI: 10.6067/xcv8rv0qgx
title: Coding sheet for Element (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv8sn0brn
title: Scanned Asset Key, Archaeological Field Reconnaissance Mississinewa Reservoir Force Main 1979
DOI: 10.6067/xcv8tf003w
title: Coding sheet for Recovery (Campbell Hollow, IL (11ST144) Fauna dataset 1/16" flotation)
DOI: 10.6067/xcv8th8pgn
title: Coding sheet for Taxon (Bear Creek (20SA1043), MI Late Archaic)
DOI: 10.6067/xcv8tm7cxt
title: Scanned Asset Key, Field School at Sites 12WB90 and 12WB120 1981-1984
DOI: 10.6067/xcv8v126kb
title: Coding sheet for Site (Modoc Rock Shelter, IL (11R5)-1953 Fauna dataset Central Pit 1/4" Screen)
DOI: 10.6067/xcv8vm4f1c
title: Coding sheet for Completeness (Bear Creek (20SA1043), MI Middle Archaic)
DOI: 10.6067/xcv8zk5jf6
title: Coding sheet for Recovery (20BY28 faunal dataset)
DOI: 10.6067/xcv80003x8
title: Coding sheet for Portion3 (Modoc Rock Shelter, IL (11R5)-1984 Unit D 1/4" Faunal data)
DOI: 10.6067/xcv81j9ck0
title: Coding sheet for Taxon ID (20BY28 faunal dataset)
DOI: 10.6067/xcv81v5gsg
title: Coding sheet for Area (20BY387 faunal dataset)
DOI: 10.6067/xcv8251m0t
title: Coding sheet for Side (20BY28 faunal dataset)
DOI: 10.6067/xcv8348n50
title: Coding sheet for Site Type (Weber I Middle Archaic faunal dataset)
DOI: 10.6067/xcv83r0vph
title: Coding sheet for CulturalAffiliation (Modoc Rock Shelter, IL (11R5)-1980-West Shelter-Snails in 5 liter Bulk Soil Samples from Units C, D, and F)
DOI: 10.6067/xcv8668fzz
title: Coding sheet for Cut (Little Freeman Cave (23PU565)- Vertebrate Fauna, 1/16" Flot)
DOI: 10.6067/xcv86t0pff
title: Coding sheet for Portion (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv87h1mcj
title: Coding sheet for Site (Modoc Rock Shelter, IL (11R5)-1980 West Shelter-Snails in 4 liter-Stratigraphic Samples)
DOI: 10.6067/xcv87m09q5
title: Coding sheet for Butchering (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv87s7qjk
title: Coding sheet for Burning (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv88c9z00
title: Coding sheet for ContextType (Modoc Rock Shelter, IL (11R5)-1987 Fauna dataset-East Pillar-Flotation 1/16" mesh)
DOI: 10.6067/xcv88w3g39
title: Coding sheet for Element (Bear Creek (20SA1043), MI Middle Archaic)
DOI: 10.6067/xcv89k4d2x
title: Coding sheet for Level (20BY387 faunal dataset)
DOI: 10.6067/xcv8bp04kn
title: Coding sheet for Preservation (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv8bv7jd2
title: Coding sheet for Recovery (Weber I Site Late Archaic faunal database)
DOI: 10.6067/xcv8cc12g7
title: Coding sheet for Butchering (20BY28 faunal dataset)
DOI: 10.6067/xcv8fb54rg
title: Coding sheet for Taxon (Weber I Middle Archaic faunal dataset)
DOI: 10.6067/xcv8g44s38
title: Coding sheet for Recovery (Weber I Middle Archaic faunal dataset)
DOI: 10.5517/ccdc.csd.cc26hsyg
title: CCDC 2040976: Experimental Crystal Structure Determination

description: Related Article: Deqiang Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2021|Organometallics|40|383|doi:10.1021/acs.organomet.0c00716
DOI: 10.5517/ccdc.csd.cc26hszh
title: CCDC 2040977: Experimental Crystal Structure Determination

description: Related Article: Deqiang Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2021|Organometallics|40|383|doi:10.1021/acs.organomet.0c00716
DOI: 10.6084/m9.figshare.14009891
title: TABLE S1.docx

description: Spearman correlation test between two PFT changes (FEV<sub>1</sub> and FVC) and two QCT metrics (fSAD% and CV of <i>β</i><sub>tiss</sub>)
DOI: 10.6084/m9.figshare.14009891.v1
title: TABLE S1.docx

description: Spearman correlation test between two PFT changes (FEV<sub>1</sub> and FVC) and two QCT metrics (fSAD% and CV of <i>β</i><sub>tiss</sub>)
DOI: 10.5517/ccdc.csd.cc26hsm4
title: CCDC 2040966: Experimental Crystal Structure Determination

description: Related Article: Deqiang Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2021|Organometallics|40|383|doi:10.1021/acs.organomet.0c00716
DOI: 10.5517/ccdc.csd.cc26n7ty
title: CCDC 2045250: Experimental Crystal Structure Determination

description: Related Article: Barry M. Trost, Zhijun Zuo, Youliang Wang|2021|Org.Lett.|23|979|doi:10.1021/acs.orglett.0c04169
DOI: 10.5517/ccdc.csd.cc26bjps
title: CCDC 2035915: Experimental Crystal Structure Determination

description: Related Article: Amy L. Speelman, Kazimer L. Skubi, Brandon Q. Mercado, Patrick L. Holland|2021|Inorg.Chem.|60|1965|doi:10.1021/acs.inorgchem.0c03427
DOI: 10.5517/ccdc.csd.cc26bjnr
title: CCDC 2035914: Experimental Crystal Structure Determination

description: Related Article: Amy L. Speelman, Kazimer L. Skubi, Brandon Q. Mercado, Patrick L. Holland|2021|Inorg.Chem.|60|1965|doi:10.1021/acs.inorgchem.0c03427
DOI: 10.5517/ccdc.csd.cc26bjlp
title: CCDC 2035912: Experimental Crystal Structure Determination

description: Related Article: Amy L. Speelman, Kazimer L. Skubi, Brandon Q. Mercado, Patrick L. Holland|2021|Inorg.Chem.|60|1965|doi:10.1021/acs.inorgchem.0c03427
DOI: 10.5517/ccdc.csd.cc26bjqt
title: CCDC 2035916: Experimental Crystal Structure Determination

description: Related Article: Amy L. Speelman, Kazimer L. Skubi, Brandon Q. Mercado, Patrick L. Holland|2021|Inorg.Chem.|60|1965|doi:10.1021/acs.inorgchem.0c03427
DOI: 10.5517/ccdc.csd.cc26bjmq
title: CCDC 2035913: Experimental Crystal Structure Determination

description: Related Article: Amy L. Speelman, Kazimer L. Skubi, Brandon Q. Mercado, Patrick L. Holland|2021|Inorg.Chem.|60|1965|doi:10.1021/acs.inorgchem.0c03427
DOI: 10.5517/ccdc.csd.cc26bjkn
title: CCDC 2035911: Experimental Crystal Structure Determination

description: Related Article: Amy L. Speelman, Kazimer L. Skubi, Brandon Q. Mercado, Patrick L. Holland|2021|Inorg.Chem.|60|1965|doi:10.1021/acs.inorgchem.0c03427
DOI: 10.5517/ccdc.csd.cc24d6b3
title: CCDC 1977934: Experimental Crystal Structure Determination

description: Related Article: Yu Zhang, Runnan Guan, Muqing Chen, Yongpeng Shen, Qingjiang Pan, Yongfu Lian, Shangfeng Yang|2021|Inorg.Chem.|60|1462|doi:10.1021/acs.inorgchem.0c02744
DOI: 10.5517/ccdc.csd.cc24d6d5
title: CCDC 1977936: Experimental Crystal Structure Determination

description: Related Article: Yu Zhang, Runnan Guan, Muqing Chen, Yongpeng Shen, Qingjiang Pan, Yongfu Lian, Shangfeng Yang|2021|Inorg.Chem.|60|1462|doi:10.1021/acs.inorgchem.0c02744
DOI: 10.5281/zenodo.4536561
title: Deep learning for simultaneously interpreting 3D seismic horizons and faults by estimating a relative geologic time volume

description: To train our deep convolutional neural network for Relative Geologic Time (RGT) estimation and fault detection tasks, we automatically generate 400 pairs of synthetic training datasets including 3D seismic images and the corresponding label images (including RGT and fault volumes) with the ground truth of the geologic structures simulated in the seismic images. 1) The "seis.zip" contains 400 3D seismic images and each image is with the dimension of 128X256X256; 2) The "rgt.zip" contains 400 RGT volumes and each volume is with the same dimension of 128X256X256. 3) The "fault.zip" contains 400 label images of the faults and each label image is with the same dimension of 128X256X256.
DOI: 10.6084/m9.figshare.14010311
title: TD-BA DC-FSSH Dynamics

description: This dataset contains 500 trajectories of ethylene computed with TD-BA couplings.
DOI: 10.5281/zenodo.3338372
title: MUSDB18-HQ - an uncompressed version of MUSDB18

description: MUSDB18-HQ is the uncompressed version of the MUSDB18 dataset. It consists of a total of 150 full-track songs of different styles and includes both the stereo mixtures and the original sources, divided between a training subset and a test subset. Its purpose is to serve as a reference database for the design and the evaluation of source separation algorithms. The objective of such signal processing methods is to estimate one or more sources from a set of mixtures, e.g. for karaoke applications. It has been used as the official dataset in the professionally-produced music recordings task for SiSEC 2018, which is the international campaign for the evaluation of source separation algorithms. <em>musdb18-hq</em> contains two folders, a folder with a training set: “train”, composed of 100 songs, and a folder with a test set: “test”, composed of 50 songs. Supervised approaches should be trained on the training set and tested on both sets. All files from the <em>musdb18-hq</em> dataset are saved as uncompressed wav files. Within each track folder, the user finds mixture.wav drums.wav bass.wav, other.wav, vocals.wav All signals are stereophonic and encoded at 44.1kHz. <strong>LICENSE</strong> MUSDBHQ: is provided for educational purposes only and the material contained in them should not be used for any commercial purpose without the express permission of the copyright holders: 100 tracks are taken from the DSD100 data set, which is itself derived from The ‘Mixing Secrets’ Free Multitrack Download Library. Please refer to this original resource for any question regarding your rights on your use of the DSD100 data.<br> 46 tracks are taken from the MedleyDB licensed under Creative Commons (BY-NC-SA 4.0).<br> 2 tracks were kindly provided by Native Instruments originally part of their stems pack.<br> 2 tracks a from from the Canadian rock band The Easton Ellises as part of the heise stems remix competition, licensed under Creative Commons (BY-NC-SA 3.0). <strong>REFERENCE</strong> If you use the MUSDB dataset for your research - Cite the MUSDB18 Dataset <pre><code>@misc{MUSDB18HQ, author = {Rafii, Zafar and Liutkus, Antoine and Fabian-Robert St{\"o}ter and Mimilakis, Stylianos Ioannis and Bittner, Rachel}, title = {{MUSDB18-HQ} - an uncompressed version of MUSDB18}, month = dec, year = 2019, doi = {10.5281/zenodo.3338373}, url = {https://doi.org/10.5281/zenodo.3338373} }</code></pre> If compare your results with SiSEC 2018 Participants - Cite the SiSEC 2018 LVA/ICA Paper <pre><code>@inproceedings{SiSEC18, author="St{\"o}ter, Fabian-Robert and Liutkus, Antoine and Ito, Nobutaka", title="The 2018 Signal Separation Evaluation Campaign", booktitle="Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Surrey, UK", year="2018", pages="293--305" }</code></pre>
description: __LICENSE AGREEMENT__: MUSDB18HQ is provided for educational purposes only and the material contained in them should not be used for any commercial purpose without the express permission of the copyright holders.
DOI: 10.15161/oar.it/73497
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14010755
title: Materials (TAPS)

description: Table1-3, and supplementary TableS1.
DOI: 10.6084/m9.figshare.14010755.v1
title: Materials (TAPS)

description: Table1-3, and supplementary TableS1.
DOI: 10.5281/zenodo.4540407
title: Impact of artificial light at night on diurnal plant-pollinator interactions: deposited data

description: This repository contains the data and R code needed to reproduce the analyses published in the Nature Communication paper entitled "Impact of artificial light at night on diurnal plant-pollinator interactions" (authors: Simone Giavi, Colin Fontaine and Eva Knop).
DOI: 10.5281/zenodo.4540406
title: Impact of artificial light at night on diurnal plant-pollinator interactions: deposited data

description: This repository contains the data and R code needed to reproduce the analyses published in the Nature Communication paper entitled "Impact of artificial light at night on diurnal plant-pollinator interactions" (authors: Simone Giavi, Colin Fontaine and Eva Knop).
DOI: 10.25919/7mkg-yf42
title: Parkes observations for project P1092 semester 2020OCTS_09

description: We propose to use the Parkes UWL receiver for confirmation and monitoring a sub-set of bright FAST-discovered pulsars, especially for those discoveries located outside the sky regions covered by the purchased PX-500 project. For special FAST discoveries that already confirmed by Parkes, such as MSPs or pulsars with interesting emission properties, we propose to do long-term monitoring for them as well. These monitoring aim to solve their parameters, binary orbit, and provide significant insight into the special emission properties of these new discoveries and facilitate science. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths, in term of both the timing precision and frequency-dependent observing properties.
DOI: 10.6084/m9.figshare.14013167
title: sexual concerns.sav

description: data for Women’s help-seeking behaviors for resolving sexual concerns
DOI: 10.6084/m9.figshare.14013167.v1
title: sexual concerns.sav

description: data for Women’s help-seeking behaviors for resolving sexual concerns
DOI: 10.6084/m9.figshare.13574378.v1
title: Glacier names

description: This dataset contains a list of glacier names in various languages all in lowercase but with retained punctuation. Note that old, alternative, and error-some spellings are intentionally included.<br><br><b>Biases</b><br>The current version of this dataset contains almost only western European languages.<br><b>Creation</b><b><br></b>This dataset was created for the Glaciers in Archives (glaciersinarchives.org) project and the names have mainly been sourced from Wikidata, and Europeana but also include names found in other cultural heritage aggregators as well manually added names.<br>
DOI: 10.6084/m9.figshare.14013485
title: Webinar guide.docx

description: Guidline for logging in
DOI: 10.6084/m9.figshare.14013485.v1
title: Webinar guide.docx

description: Guidline for logging in
DOI: 10.25646/8017
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.18112/openneuro.ds003468.v1.0.1
title: IQSEC2_fcMRI
DOI: 10.5519/qd.ym0d63b8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4540488
title: Characterisation of Geometric Variance in the Epithelial Nerve Net of the Ctenophore Pleurobrachia pileus

description: This data supports the findings of this study: Characterisation of Geometric Variance in the Epithelial Nerve Net of the Ctenophore <em>Pleurobrachia pileus</em> Amy Courtney, Jérémy Liegey, Niamh Burke, Madeleine Lowey, Mark Pickering bioRxiv 2020.06.30.178582; doi: https://doi.org/10.1101/2020.06.30.178582
DOI: 10.5281/zenodo.4540487
title: Characterisation of Geometric Variance in the Epithelial Nerve Net of the Ctenophore Pleurobrachia pileus

description: This data supports the findings of this study: Characterisation of Geometric Variance in the Epithelial Nerve Net of the Ctenophore <em>Pleurobrachia pileus</em> Amy Courtney, Jérémy Liegey, Niamh Burke, Madeleine Lowey, Mark Pickering bioRxiv 2020.06.30.178582; doi: https://doi.org/10.1101/2020.06.30.178582
DOI: 10.6084/m9.figshare.14014883
title: Data.xls

description: Results for zircon U–Pb data, whole-rock major and trace element, whole-rock Sr–Nd–Hf isotopic, whole-rock Re–Os isotopic data for the magmatic rocks in the Jiushiyidaoban, Jiushidaoban and Rongzharinian regions from the northern Qiangtang
DOI: 10.6084/m9.figshare.14014883.v1
title: Data.xls

description: Results for zircon U–Pb data, whole-rock major and trace element, whole-rock Sr–Nd–Hf isotopic, whole-rock Re–Os isotopic data for the magmatic rocks in the Jiushiyidaoban, Jiushidaoban and Rongzharinian regions from the northern Qiangtang
DOI: 10.5517/ccdc.csd.cc24232f
title: CCDC 1968223: Experimental Crystal Structure Determination

description: Related Article: Sérgio M. F. Vilela, Jorge A. R. Navarro, Paula Barbosa, Ricardo F. Mendes, Germán Pérez-Sánchez, Harriott Nowell, Duarte Ananias, Filipe Figueiredo, José R. B. Gomes, João P. C. Tomé, Filipe A. Almeida Paz|2021|J.Am.Chem.Soc.|143|1365|doi:10.1021/jacs.0c10421
DOI: 10.5517/ccdc.csd.cc24233g
title: CCDC 1968224: Experimental Crystal Structure Determination

description: Related Article: Sérgio M. F. Vilela, Jorge A. R. Navarro, Paula Barbosa, Ricardo F. Mendes, Germán Pérez-Sánchez, Harriott Nowell, Duarte Ananias, Filipe Figueiredo, José R. B. Gomes, João P. C. Tomé, Filipe A. Almeida Paz|2021|J.Am.Chem.Soc.|143|1365|doi:10.1021/jacs.0c10421
DOI: 10.5517/ccdc.csd.cc24234h
title: CCDC 1968225: Experimental Crystal Structure Determination

description: Related Article: Sérgio M. F. Vilela, Jorge A. R. Navarro, Paula Barbosa, Ricardo F. Mendes, Germán Pérez-Sánchez, Harriott Nowell, Duarte Ananias, Filipe Figueiredo, José R. B. Gomes, João P. C. Tomé, Filipe A. Almeida Paz|2021|J.Am.Chem.Soc.|143|1365|doi:10.1021/jacs.0c10421
DOI: 10.5517/ccdc.csd.cc259jxy
title: CCDC 2005170: Experimental Crystal Structure Determination

description: Related Article:  Ekaterina E. Stepanova, Svetlana YU. Balandina, Vera A. Drobkova, Maksim V. Dmitriev, Irina V. Mashevskaya, Andrey N. Maslivets|2020|Arch.Pharm.Chem.Life Sci.|354|2000199|doi:10.1002/ardp.202000199
DOI: 10.5517/ccdc.csd.cc244nfd
title: CCDC 1970683: Experimental Crystal Structure Determination

description: Related Article: Xia-Li Ding, Yuan-Qi Zhai, Tian Han, Wei-Peng Chen, You-Song Ding, Yan-Zhen Zheng|2021|Chem.-Eur.J.|27|2623|doi:10.1002/chem.202003931
DOI: 10.5517/ccdc.csd.cc244ngf
title: CCDC 1970684: Experimental Crystal Structure Determination

description: Related Article: Xia-Li Ding, Yuan-Qi Zhai, Tian Han, Wei-Peng Chen, You-Song Ding, Yan-Zhen Zheng|2021|Chem.-Eur.J.|27|2623|doi:10.1002/chem.202003931
DOI: 10.5517/ccdc.csd.cc244nrq
title: CCDC 1970693: Experimental Crystal Structure Determination

description: Related Article: Xia-Li Ding, Yuan-Qi Zhai, Tian Han, Wei-Peng Chen, You-Song Ding, Yan-Zhen Zheng|2021|Chem.-Eur.J.|27|2623|doi:10.1002/chem.202003931
DOI: 10.5281/zenodo.4540576
title: Data from: Characterization and comparison of the digestive physiology of two scombrids, <i>Katsuwonus pelamis</i> and <i>Sarda sarda</i>, in the Gulf of Cádiz

description: Metadata from the skipjack tuna (<em>Katsuwonus pelamis</em>) gut microbiome profiling by 16S sequencing
DOI: 10.34740/kaggle/dsv/1940954
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.12573494.v1
title: RIA_data.zip

description: RIA dataset
DOI: 10.5281/zenodo.4540625
title: Functional appliance treatment for mandibular fractures: a systematic review

description: Datasets for all analyses
DOI: 10.6084/m9.figshare.12573494
title: Manual Riparian Zone data

description: Manually digitized datset that can be used for riparian connectivity and spatial configurations analysis.
DOI: 10.6084/m9.figshare.12573494.v3
title: Manual Riparian Zone data

description: Manually digitized datset that can be used for riparian connectivity and spatial configurations analysis.
DOI: 10.6084/m9.figshare.12573494.v2
title: RIA_data.zip

description: RIA dataset
DOI: 10.5517/ccdc.csd.cc23wzhh
title: CCDC 1963307: Experimental Crystal Structure Determination

description: Related Article: Muhammad Naeem Ahmed, Komal Nadeem, Hina Andleeb, Masoome Sheikhi, Zahid Majeed, Syed Wadood Ali Shah, Muhammad Nawaz Tahir, Mariana Rocha, Diego M. Gil|2021|J.Mol.Struct.|1232|130030|doi:10.1016/j.molstruc.2021.130030
DOI: 10.5517/ccdc.csd.cc24v9q1
title: CCDC 1991493: Experimental Crystal Structure Determination

description: Related Article: Murat Tuna, Salih Zeki Yildiz, Gulnur Arabaci, Zeynep Denli, Nagihan Çaylak Delibaş, Tuncer Hökelek|2021|J.Mol.Struct.|1232|129975|doi:10.1016/j.molstruc.2021.129975
DOI: 10.15468/s5vgvd
title: A new species of baleen whale (Balaenoptera) from the Gulf of Mexico, with a review of its geographic distribution

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rosel, Patricia E., Wilcox, Lynsey A., Yamada, Tadasu K., Mullin, Keith D. (2021): A new species of baleen whale (Balaenoptera) from the Gulf of Mexico, with a review of its geographic distribution. Marine Mammal Science 126 (5): 644-645, DOI: 10.1111/mms.12776, URL: http://dx.doi.org/10.1111/mms.12776
DOI: 10.5281/zenodo.4540561
title: Neural Entity Alignment Analysis

description: Neural methods have become the de-facto choice for the vast majority of data analysis tasks, and entity alignment is no exception. Not surprisingly, more than 40 different neural entity alignment methods have been published in reputed computer science venues since 2017. However, surprisingly, an in-depth empirical comparison and an analysis of the differences between neural and non-neural entity alignment methods have been lacking. We bridge this gap by performing an in-depth comparison between methods from the pre-neural and neural era. Specifically, we build upon recent benchmarking studies to select one (Paris) and two (RDGCN andBootEA) representative state-of-the-art methods from the pre-neural and neural era, respectively. We unravel and consequently, mitigate the inherent deficiencies in the experimental setup utilized for evaluating neural entity alignment methods. To ensure fairness in evaluation across the two paradigms, we also homogenize the entity matching modules of neural and non-neural methods. Our results indicate that Paris, the state-of-the-art non-neural method, statistically significantly outperforms both RDGCN and BootEA, the state-of-the-art neural methods, in terms of both efficacy and efficiency across a wide variety of dataset types and scenarios. Moreover, our findings shed light on the potential problems resulting from an impulsive application of neural methods as a panacea for all data analytics tasks. Overall, our work results in two overarching conclusions: (1) Paris should be used as a baseline in every follow-up work on entity alignment, and (2) neural methods need to be positioned better to showcase their true potential, for which we provide multiple recommendations. This dataset contains the full versions of dbpedia, wikidata and yago (v3.1), which have been used to reproduce the results of the paper "A Critical Re-evaluation of Neural Methods for Entity Alignment".