cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/6447219
title: Bitcoin Funding Rate (Binance Futures)
DOI: 10.34740/kaggle/dsv/6447228
title: Bitcoin Long/Short Ratio (Binance Futures)
DOI: 10.34740/kaggle/dsv/6447238
title: Bitcoin Taker Buy/Sell Volume (Binance Futures)
DOI: 10.6084/m9.figshare.24115500
title: Scopus Bibliometric Dataset: Insights into Information Efficiency

description: This dataset consists of bibliographic records extracted from the Scopus database in December 2022. The initial database included 30,551 papers, but it was refined to 8,289 papers using a Bradford filter (Bradford, 1934) with the assistance of Bibliometrix, an R package. <b>Dataset Fields:</b><b>AU:</b> Authors<b>Author.s..ID:</b> Author identifiers<b>TI:</b> Title<b>PY:</b> Publication year<b>SO:</b> Source (journal or conference)<b>TC:</b> Total citations<b>DI:</b> Digital Object Identifier (DOI)<b>URL:</b> Uniform Resource Locator (URL)<b>Affiliations:</b> Author affiliations<b>AB:</b> Abstract<b>DE:</b> Keywords (descriptors)<b>ID:</b> Scopus document identifier<b>CR:</b> Cited references<b>RP:</b> Reference count<b>ISSN:</b> International Standard Serial Number<b>ISBN:</b> International Standard Book Number<b>CODEN:</b> CODEN (CDS identification code)<b>JI:</b> Journal identifier<b>DT:</b> Document type<b>DB:</b> Scopus database source<b>UT:</b> Unique identifier<b>J9:</b> Journal name<b>AU_UN:</b> Authors' unified names<b>AU1_UN:</b> First author's unified name<b>AU_UN_NR:</b> Number of authors' unified names<b>SR_FULL:</b> Full source title<b>SR:</b> Source abbreviation<b>LA:</b> Language<b>Age:</b> Age of the paper<b>TCpY:</b> Total citations per year<b>NTC:</b> Number of total citations
DOI: 10.6084/m9.figshare.24115989
title: Evaluation of the effect of implant scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital implant impressions.

description: An accurate digital impression of the scan body is essential to replicate the actual implant position in the software program. However, studies analyzing the scanning accuracy using different scan body materials, angulations, exposures, and inter-scan body distances are scarce. The purpose of this in vitro study was to determine the effect of scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital impressions.<br>
DOI: 10.6084/m9.figshare.24115989.v1
title: Evaluation of the effect of implant scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital implant impressions.

description: An accurate digital impression of the scan body is essential to replicate the actual implant position in the software program. However, studies analyzing the scanning accuracy using different scan body materials, angulations, exposures, and inter-scan body distances are scarce. The purpose of this in vitro study was to determine the effect of scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital impressions.<br>
DOI: 10.34740/kaggle/dsv/6447355
title: For Journal: Economic Geography
DOI: 10.6084/m9.figshare.24116010
title: TAM for Mother Screening in Jayapura

description: dataset for TAM
DOI: 10.6084/m9.figshare.24116010.v1
title: TAM for Mother Screening in Jayapura

description: dataset for TAM
DOI: 10.6084/m9.figshare.24116016
title: Raw data for the article "Universal microsatellite markers made it possible to study the genetic diversity of Baikal endemic sponges at the interspecies level."

description: <pre>Here are files with raw data for phylogenetic analysis and calculation of microsatellite loci diversity parameters for Baikal sponges.</pre>
DOI: 10.6084/m9.figshare.24116013
title: all_data_EEN13280

description: This is a spreadsheet of data for Junonia coenia densovirus (JcDV) prevalence and load across populations of Melissa blue (<i>Lycaeides melissa</i>) adults sampled at specific time points over a span of 16 years. Virus prevalence ("virus_hit" = 1) of individuals was determined using qPCR with primers of the viral capsid gene. Viral "load" was calculated algebraically by use of a standard curve regression equation (y=-0.2413x + 11.601; R<sup>2</sup> = 0.99) derived from the cycle threshold values of serial dilutions of viral stock (10<sup>3</sup> through 10<sup>9</sup> viral genome units). "ISO_date" (international format), "month," "year," "period," and "ord_date" (day of the year) are all columns for analyzing temporal patterns of sample collection time on viral prevalence. Populations of Melissa blues were recorded as using either novel alfalfa (<i>Medicago sativa</i>; "host_type" = A), native host plants (<i>Astragalus</i>, <i>Lupinus</i>, or <i>Glycyrrhiza spp</i>.; "host_type" = N), or both types for oviposition and larval diet.
DOI: 10.6084/m9.figshare.24116013.v1
title: all_data_EEN13280

description: This is a spreadsheet of data for Junonia coenia densovirus (JcDV) prevalence and load across populations of Melissa blue (<i>Lycaeides melissa</i>) adults sampled at specific time points over a span of 16 years. Virus prevalence ("virus_hit" = 1) of individuals was determined using qPCR with primers of the viral capsid gene. Viral "load" was calculated algebraically by use of a standard curve regression equation (y=-0.2413x + 11.601; R<sup>2</sup> = 0.99) derived from the cycle threshold values of serial dilutions of viral stock (10<sup>3</sup> through 10<sup>9</sup> viral genome units). "ISO_date" (international format), "month," "year," "period," and "ord_date" (day of the year) are all columns for analyzing temporal patterns of sample collection time on viral prevalence. Populations of Melissa blues were recorded as using either novel alfalfa (<i>Medicago sativa</i>; "host_type" = A), native host plants (<i>Astragalus</i>, <i>Lupinus</i>, or <i>Glycyrrhiza spp</i>.; "host_type" = N), or both types for oviposition and larval diet.
DOI: 10.5281/zenodo.8332712
title: Inventory of nomination verbs in 4 languages (Dutch, English, French, Spanish)

description: This data package contains an inventory of nomination verbs (e.g. They appointment Charles Professor) in four languages (i.e. Dutch, English, French, Spanish). Each verb is associated with at least one corpus example which have been retrieved from (i) dictionaries, (ii) previous literature, (iii) the Internet.
DOI: 10.5281/zenodo.8332711
title: Inventory of nomination verbs in 4 languages (Dutch, English, French, Spanish)

description: This data package contains an inventory of nomination verbs (e.g. They appointment Charles Professor) in four languages (i.e. Dutch, English, French, Spanish). Each verb is associated with at least one corpus example which have been retrieved from (i) dictionaries, (ii) previous literature, (iii) the Internet.
DOI: 10.6084/m9.figshare.23557137.v1
title: Data and scripts for paper: Snowmelt-radiation feedback impact on Western U.S. streamflow by Ban, Xin, Fang, Ma, Li, and Lettenmaier.

description: This dataset contains the supporting data and scripts in the study of the snowmelt-radiation feedback impact on western U.S. streamflow, summarized at huc-8 scale across the western U.S.
DOI: 10.3886/e119844v1-141385
title: Data and Code for: "The Labor Market for Teachers Under Different Pay Schemes"

description: Compensation of most US public school teachers is rigid and solely based on seniority. This paper studies the effects of a reform that gave school districts in Wisconsin full autonomy to redesign teacher pay schemes. Following the reform some districts switched to flexible compensation. Using the expiration of pre-existing collective-bargaining agreements as a source of exogenous variation in the timing of changes in pay, I show that the introduction of flexible pay raised salaries of high-quality teachers, increased teacher quality (due to the arrival of high-quality teachers from other districts and increased effort), and improved student achievement.
description: Wisconsin Public School Teachers.
DOI: 10.5281/zenodo.8039658
title: FIND: A Function Interpretation Dataset and Benchmark for Evaluating Interpretability Methods

description: <strong>FIND</strong> is an interactive dataset for evaluating AI interpretability methods on black box functions. This dataset contains all function files for the <strong>FIND</strong> benchmark and JSON files with associated metadata. The utilities provided in the associated <strong>FIND</strong> GitHub Repository support running and evaluating interpretation of the functions with user-defined interpreters.
DOI: 10.5281/zenodo.8332767
title: FIND: A Function Interpretation Dataset and Benchmark for Evaluating Interpretability Methods

description: <strong>FIND</strong> is an interactive dataset for evaluating AI interpretability methods on black box functions. This dataset contains all function files for the <strong>FIND</strong> benchmark and JSON files with associated metadata. The utilities provided in the associated <strong>FIND</strong> GitHub Repository support running and evaluating interpretation of the functions with user-defined interpreters.
DOI: 10.5281/zenodo.8034162
title: FIND: A Function Interpretation Dataset and Benchmark for Evaluating Interpretability Methods

description: <strong>FIND</strong> is an interactive dataset for evaluating AI interpretability methods on black box functions. This dataset contains all function files for the <strong>FIND</strong> benchmark and JSON files with associated metadata. The utilities provided in the associated <strong>FIND</strong> GitHub Repository support running and evaluating interpretation of the functions with user-defined interpreters.
DOI: 10.5281/zenodo.8332805
title: panulirus_argus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8332804
title: panulirus_argus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8332777
title: Evaluating Risk Progression in Mental Health Chatbots with Escalating Prompts Dataset

description: Excel dataset for "Evaluating Risk Progression in Mental Health Chatbots with Escalating Prompts" manuscript.
DOI: 10.5281/zenodo.8332778
title: Evaluating Risk Progression in Mental Health Chatbots with Escalating Prompts Dataset

description: Excel dataset for "Evaluating Risk Progression in Mental Health Chatbots with Escalating Prompts" manuscript.
DOI: 10.5281/zenodo.8332836
title: [IO Islamic 689] قصائد فيضى

description: <strong>Faiḍî's-ḳaṣîdas</strong><strong>.</strong> <strong>This manuscript is now IO Islamic 1467 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 689 here with notations and hyperlinks].</strong> 1467 Faiḍi’s ḳaṣîdas. A selection of Faiḍi’s ḳaṣîdas and tarji’s, beginning, on fol. 1<sup>b</sup>: يا ازلىّ الظّهور الخ. This small copy is a little worm-eaten throughout; the second leaf is badly injured. No date. No. 689, ff. 49, 2 coll., each ll. 15; clear Nasta’lîḳ; illuminated frontispiece; size, 7<sup>7/8</sup> in. by 5 in.
DOI: 10.5281/zenodo.8332835
title: [IO Islamic 689] قصائد فيضى

description: <strong>Faiḍî's-ḳaṣîdas</strong><strong>.</strong> <strong>This manuscript is now IO Islamic 1467 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 689 here with notations and hyperlinks].</strong> 1467 Faiḍi’s ḳaṣîdas. A selection of Faiḍi’s ḳaṣîdas and tarji’s, beginning, on fol. 1<sup>b</sup>: يا ازلىّ الظّهور الخ. This small copy is a little worm-eaten throughout; the second leaf is badly injured. No date. No. 689, ff. 49, 2 coll., each ll. 15; clear Nasta’lîḳ; illuminated frontispiece; size, 7<sup>7/8</sup> in. by 5 in.
DOI: 10.5281/zenodo.8332829
title: eurycea_guttolineata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8332828
title: eurycea_guttolineata_spades_01.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/6447845
title: Multi-Labelled SMILES Odors dataset
DOI: 10.5281/zenodo.8332846
title: [IO Islamic 269] نل و دمن

description: <strong>Nal-u-Daman</strong><strong>.</strong> <strong>This manuscript is now IO Islamic 1468 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 269 here with notations and hyperlinks].</strong> 1468 Nal u Daman (نل و دمن). Faiḍî’s famous mathnawî, Nal and Daman, a free Persian adaptation of the episode of Nala and Damayantî in the Indian Mahâbhârata, and composed A.H. 1003=A.D. 1594, 1595 (comp. Blochmann, Â’în-i-Akbarî, p. 106, note 4 etc.). Beginning: اى در تگ و پوى تو زآغاز – عنقاى نظر بلند پرواز Lithographed, Calcutta, 1831, and Lucknow, A.H. 1263; a part of it is printed in Spiegel’s Chrestomathia Persica, Leipzig, 1846, pp. 131-150. Copies of this mathnawî are also noticed in W. Pertsch, Berlin Cat., p. 905; A. Sprenger, Catal., p. 402; J. Aumer, p. 38; A. F. Mehren, p. 42, etc. This copy is dated the first of Sha’bân, A.H. 1069 (A.D. 1659, April 24); the last pages a little injured. No. 269, ff. 142, 2 coll., each ll. 15; ff. 1 and 2 supplied by a more modern hand; Nasta’lîḳ; size, 7¾ in. by 4 in.
DOI: 10.5281/zenodo.8332845
title: [IO Islamic 269] نل و دمن

description: <strong>Nal-u-Daman</strong><strong>.</strong> <strong>This manuscript is now IO Islamic 1468 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 269 here with notations and hyperlinks].</strong> 1468 Nal u Daman (نل و دمن). Faiḍî’s famous mathnawî, Nal and Daman, a free Persian adaptation of the episode of Nala and Damayantî in the Indian Mahâbhârata, and composed A.H. 1003=A.D. 1594, 1595 (comp. Blochmann, Â’în-i-Akbarî, p. 106, note 4 etc.). Beginning: اى در تگ و پوى تو زآغاز – عنقاى نظر بلند پرواز Lithographed, Calcutta, 1831, and Lucknow, A.H. 1263; a part of it is printed in Spiegel’s Chrestomathia Persica, Leipzig, 1846, pp. 131-150. Copies of this mathnawî are also noticed in W. Pertsch, Berlin Cat., p. 905; A. Sprenger, Catal., p. 402; J. Aumer, p. 38; A. F. Mehren, p. 42, etc. This copy is dated the first of Sha’bân, A.H. 1069 (A.D. 1659, April 24); the last pages a little injured. No. 269, ff. 142, 2 coll., each ll. 15; ff. 1 and 2 supplied by a more modern hand; Nasta’lîḳ; size, 7¾ in. by 4 in.
DOI: 10.5281/zenodo.7981096
title: Critérios ou Convenções de Alinhamento do Grego às Traduções em Português

description: This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with Portuguese translations. The Corpus and Annotation Style Guide are aligned and adapted from the Ancient Greek to English Guidelines (Chiara Palladino, & Farnoosh Shamsian. (2022). Translation Alignment: Ancient Greek to English. Annotation Style Guide and Gold Standard. (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7362097). The alignment was performed by two domain experts using Ugarit (https://ugarit.ialigner.com/). The Guidelines and Gold Standard can be used to perform and evaluate alignments of various texts in Ancient Greek, to create other datasets, or to train automated translation alignment models. For further information on Ugarit and translation alignment of historical languages, see https://ugarit.ialigner.com/bib.php and follow us on Twitter (@ugarit_ty).
DOI: 10.5281/zenodo.7981097
title: Critérios ou Convenções de Alinhamento do Grego às Traduções em Português

description: This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with Portuguese translations. The Corpus and Annotation Style Guide are aligned and adapted from the Ancient Greek to English Guidelines (Chiara Palladino, & Farnoosh Shamsian. (2022). Translation Alignment: Ancient Greek to English. Annotation Style Guide and Gold Standard. (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7362097). The alignment was performed by two domain experts using Ugarit (https://ugarit.ialigner.com/). The Guidelines and Gold Standard can be used to perform and evaluate alignments of various texts in Ancient Greek, to create other datasets, or to train automated translation alignment models. For further information on Ugarit and translation alignment of historical languages, see https://ugarit.ialigner.com/bib.php and follow us on Twitter (@ugarit_ty).
DOI: 10.5281/zenodo.1237095
title: Digital Agathemerus Project

description: This release includes all the primary data produced between 2015 and 2018, which form the backbone of the Digital Agathemerus Project. For more information, go to http://www.digitalagathemerus.org.
DOI: 10.5281/zenodo.1237094
title: Digital Agathemerus Project

description: This release includes all the primary data produced between 2015 and 2018, which form the backbone of the Digital Agathemerus Project. For more information, go to http://www.digitalagathemerus.org.
DOI: 10.5281/zenodo.1237089
title: TuftsDCC: Tufts Digital Classics Club

description: This is a first test for release of the Digital Classics Club and related material.
DOI: 10.5281/zenodo.1237088
title: TuftsDCC: Tufts Digital Classics Club

description: This is a first test for release of the Digital Classics Club and related material.
DOI: 10.34740/kaggle/dsv/6448041
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.7981084
title: Translation Alignment: Ancient Greek to Latin. Annotation Style Guide and Gold Standard

description: This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with Latin scholarly translations. The gold standard consists of 100 fragments randomly selected from the <em>Digital Fragmenta Historicorum Graecorum </em>(DFHG) (https://www.dfhg-project.org/), which were aligned manually by Chiara Palladino and David J. Wright using Ugarit (https://ugarit.ialigner.com/). The Annotation Style Guide was developed for this project. The resulting Inter-Annotator-Agreement (IAA) is 90.5%. The materials available in this repository can be used to perform and evaluate alignments of various texts in Ancient Greek, to create gold standards, and to train automated translation alignment models. The Guidelines can be further adapted to address similar language pairs including inflected languages, or can provide a structure for the alignment of other historical texts against modern translations. However, the guidelines are not project-specific: they were specifically intended for the scenario of machine translation. Different research questions, such as translation history or pedagogy, may need further tweaking of these guidelines. For further information on Ugarit and translation alignment of historical languages, see http://ugarit.aligner.com/bib.php and follow us on Twitter (@ugarit_ty). <br>
DOI: 10.5281/zenodo.7981085
title: Translation Alignment: Ancient Greek to Latin. Annotation Style Guide and Gold Standard

description: This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with Latin scholarly translations. The gold standard consists of 100 fragments randomly selected from the <em>Digital Fragmenta Historicorum Graecorum </em>(DFHG) (https://www.dfhg-project.org/), which were aligned manually by Chiara Palladino and David J. Wright using Ugarit (https://ugarit.ialigner.com/). The Annotation Style Guide was developed for this project. The resulting Inter-Annotator-Agreement (IAA) is 90.5%. The materials available in this repository can be used to perform and evaluate alignments of various texts in Ancient Greek, to create gold standards, and to train automated translation alignment models. The Guidelines can be further adapted to address similar language pairs including inflected languages, or can provide a structure for the alignment of other historical texts against modern translations. However, the guidelines are not project-specific: they were specifically intended for the scenario of machine translation. Different research questions, such as translation history or pedagogy, may need further tweaking of these guidelines. For further information on Ugarit and translation alignment of historical languages, see http://ugarit.aligner.com/bib.php and follow us on Twitter (@ugarit_ty). <br>
DOI: 10.5281/zenodo.7362096
title: Translation Alignment: Ancient Greek to English. Annotation Style Guide and Gold Standard.

description: This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with English translations. The guidelines were used to annotate a diverse dataset including Homeric epic, Attic prose, and Platonic dialogue, and were tested by measuring inter-annotator agreement of 80% or higher. The Ancient Greek texts used are almost entirely available through the Scaife viewer (https://scaife.perseus.org/). The datasets used to develop the gold standard were aligned using the Ugarit Translation Alignment Editor for Historical languages (http://ugarit.ialigner.com/). The materials available here can be used to perform and evaluate alignments of various texts in Ancient Greek, to create new gold standard corpora, and to train automated translation models. The guidelines can also be further adapted to address similar language pairs including an inflected and a synthetic language, such as Latin and English, or can provide a structure for the alignment of other historical texts against modern translations. However, the guidelines are not project-specific: they were specifically intended for the creation of a Gold Standard in the scenario of machine translation. Different scenarios, such as language research or pedagogy, may need further tweaking to these guidelines to make them more compatible with different underlying principles. For further information on Ugarit and translation alignment of historical languages, see http://ugarit.ialigner.com/bib.php and follow us on Twitter (@ugarit_ty).
DOI: 10.5281/zenodo.7362097
title: Translation Alignment: Ancient Greek to English. Annotation Style Guide and Gold Standard.

description: This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with English translations. The guidelines were used to annotate a diverse dataset including Homeric epic, Attic prose, and Platonic dialogue, and were tested by measuring inter-annotator agreement of 80% or higher. The Ancient Greek texts used are almost entirely available through the Scaife viewer (https://scaife.perseus.org/). The datasets used to develop the gold standard were aligned using the Ugarit Translation Alignment Editor for Historical languages (http://ugarit.ialigner.com/). The materials available here can be used to perform and evaluate alignments of various texts in Ancient Greek, to create new gold standard corpora, and to train automated translation models. The guidelines can also be further adapted to address similar language pairs including an inflected and a synthetic language, such as Latin and English, or can provide a structure for the alignment of other historical texts against modern translations. However, the guidelines are not project-specific: they were specifically intended for the creation of a Gold Standard in the scenario of machine translation. Different scenarios, such as language research or pedagogy, may need further tweaking to these guidelines to make them more compatible with different underlying principles. For further information on Ugarit and translation alignment of historical languages, see http://ugarit.ialigner.com/bib.php and follow us on Twitter (@ugarit_ty).