cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/8e9y-za80
title: Tactical Speaker Identification Speech Corpus (TSID)

description: <h3>Introduction</h3> <p>The Tactical Speaker Identification Corpus (TSID), which was collected by Douglas Reynolds and Gerald C. O'Leary of MIT Lincoln Labs, contains recordings of 35 speakers (four female, 31 male), using a variety of different radio transmitters and receivers. </p><h3>Data</h3> The recording sessions were conducted by assembling the speakers into seven groups of five, then having each speaker perform the following tasks: - read a list of TIMIT sentences - read a list of digit strings - give directions for traveling from one point to another using a map (unscripted map task) <p>Each speaker performed this set of tasks on each of three transmitters (xmtr1-3), and the utterances were recorded simlutaneously on DAT recorders attached to each of six receivers (rcvr1-6), which were located at some distance (well out of ear-shot) from the transmitter. Recordings were also made at the same time on a DAT recorder near the speaker using a head-mounted microphone to provide a reference wide-band recording of the speech (refwb). </p><p>As a result, the corpus is organized along four dimensions: speaker, transmitter, receiver, and speaking task; this organization can be viewed as a four-dimensional matrix, with 35x3x7x3 cells. Due to some occasional mishaps and malfunctions during the collection, some cells in this matrix are either empty or only partially full. </p><p>In addition to the tasks listed above, three pairs of speakers also participated in a two-way map task using xmtr3; in this case, one of the speakers in the task gives directions to the other for tracing a route on a map, and both speakers are recorded on a single audio channel at each of the receivers (except for the "refwb" recording: the two speakers were separated by some distance, using radio communication to perform the task, and only one of them used a head-mounted microphone and local DAT recorder for wide-band recording). </p><h3>Updates</h3> There are no updates at this time. </br>
DOI: 10.35111/5m9f-jn10
title: TDT2 English Audio

description: <p><strong>PRICING:</strong></p><br>
<ul><br>
<li>1999 Commercial Members: $0</li><br>
<li>1999 Non-Profit Members: $1460</li><br>
<li>Non-Members: $14,600</li><br>
</ul><br>
<h3>Introduction</h3><br>
<p>Topic Detection and Tracking (TDT) refers to automatic techniques for finding topically related material in streams of data such as newswire and broadcast news. The TDT2 corpus was created to support three TDT2 tasks: find topically homogeneous sections (segmentation), detect the occurrrence of new events (detection), and track the reoccurrencce of old or new events (tracking).</p><br>
<h3>Data</h3><br>
<p>The TDT2 Audio Corpus contains a total of 1,036 waveform files. Each file is a complete single-channel recording of 30- or 60-minute broadcast, which has been digitized at a sample rate of 16 KHz using 16-bit samples.</p><br>
<p>The four broadcast sources represented in the corpus with their format and programning frequency are as follows:</p><br>
<p>ABC World News Tonight  -- "traditional" network news, 30 minutes/day</p><br>
<p>CNN Headline News -- continuous news summaries, up to 4 30-minute samples/day</p><br>
<p>PRI The World --  "in-depth" radio news, 60 minutes/weekday</p><br>
<p>VOA -- varied 60-minute news programs, up to 2/day</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
DOI: 10.35111/tg7t-5890
title: SUSAS Transcripts

description: <h3>Introduction</h3><br>
<p>SUSAS (Speech Under Simulated and Actual Stress) Transcripts was developed by the Linguistic Data Consotium and consists of transcribed English speech by helicopter pilots. The speech data in this release is a subset of the data in SUSAS (<a href="../../../LDC99S78">LDC99S78</a>), created by the Robust Speech Processing Laboratory at the University of Colorado-Boulder under the direction of Professor John H. L. Hansen and sponsored by the Air Force Research Laboratory.</p><br>
<h3>Data</h3><br>
<p>The transcripts in this release cover several speech files in the SUSAS collection, specifically, speech from four Apache helicopter pilots. </p><br>
<p>The SUSAS speech database is partitioned into four domains, encompassing a wide variety of stresses and emotions. A total of 32 speakers (13 female, 19 male), with ages ranging from 22 to 76 years, were employed to generate in excess of 16,000 utterances.</p><br>
<p>A common highly confusable vocabulary set of 35 aircraft communication words make up the database. All speech tokens were sampled using a 16-bit A/D converter at a sample rate of 8kHz.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 1999 Trustees of the University of Pennsylvania
DOI: 10.35111/me5s-en17
title: Japanese Business News Text Supplement

description: <p>This corpus consists of newswire text from Nihon Keizai Shimbun, Inc. (NIKKEI), the largest Japanese daily financial newspaper, and Telerate, Inc. (formerly known as Dow Jones/Kyodo News Service), published primarily for managers of Japanese-owned corporations or Japanese employees working in North American financial institutions.</p><br>
<p>The Telerate portion constitutes all newswire text collected by the LDC between December 1994 and September 1998. The Telerate data collected from June 1995 to September 1998 serves as a supplement to the original publication.</p><br>
<p>All NIKKEI data was collected from December 1993 to November 1994 and is also available on the 1995 release of the Japanese Business News Text.</p><br>
<p>The data, including SGML tags, breaks down as follows.</p><br>
<p># of Files Daily Average Size Total Size -------------------------------------------------- NIKKEI 364 514K 188MB Telerate 1060 336K 357MB</p><br>
<p>The NIKKEI text was received on nine-track magnetic tape. The original character encoding was EBCDIC, but was converted to EUC encoding, which the LDC uses for its Japanese publications.</p><br>
<p>The Telerate text was received via a digital transmission service installed at the LDC by Telerate. Custom software was written by the LDC to poll a central database and download articles individually. The character encoding is EUC.</p><br>
<p>LDC added SGML tags automatically in order to identify individual stories within the daily collections.</p><br>
<h3>Additional Licensing Instructions</h3><br>
<p>This 'members-only' corpora is available to current members who can request the data at the listed reduced-license fee. Contact <a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> for information about becoming a member.</p></br>
DOI: 10.35111/nn6y-7a40
title: USC Marketplace Broadcast News Transcripts

description: <h3>Introduction</h3> <p>The USC Marketplace Broadcast News Corpus contains approximately 40 hours of audio data, which was recorded daily between May 1, 1996 and September 18, 1996. Corresponding transcript files were created by Federal Document Clearing House and enhanced by the LDC to include: story boundaries, disfluency markers, and speaker and gender identification. In keeping with HUB4 style transcription conventions, LDC spelled all digit strings in standard orthography. Commercial and music segments, while a part of the audio publication, were excluded from the transcripts. The timestamps mark the beginning of each speaker turn relative to the beginning of the recording and are precise to the 100th of a second. Although the transcripts were created using HUB4 conventions, the second and third pass quality checks, typically required by government sponsored evaluation projects, were skipped. </p><h3>Data</h3> <p>The USC Marketplace recordings from the summer of 1996 were received on digital audio tapes (DATs) from the University of Southern California. LDC excluded from this set the roughly seven hours of broadcast that are currently included in the 1996 English Broadcast News publication. </p><p>Marketplace is produced by USC Radio in Los Angeles, a division of the University of Southern California. </p><h3>Updates</h3> There are no updates at this time. </br>
DOI: 10.35111/4cn9-4847
title: Portuguese Newswire Text

description: <h3>Introduction</h3> <p>This corpus builds on the Portuguese data published previously in the <a href="http://catalog.ldc.upenn.edu/LDC95T11" rel="nofollow">European Language Newswire Text Corpus</a> and contains the previously published material, as well as more recent material. </p><h3>Data</h3> <p>The data in this corpus comes from Agence France Presse from May 13, 1994 through December 31, 1998 (June 27, 1996 - December 31, 1998 was previously unpublished by the LDC). The data has been tagged using SGML to identify article boundaries. </p><h3>Updates</h3> There are no updates at this time. </br>
DOI: 10.35111/q9gq-nf98
title: Spanish Newswire Text, Volume 2

description: <h3>Introduction</h3> <p>This release of Spanish newswire contains data from the following sources: </p><li>Agence France Presse (January 13, 1996--December 13,1998)</li> <li>Associated Press Worldstream (December 1, 1995--August 31, 1998)</li> <li>El Norte (January 1, 1997--December 31, 1998)</li> <h3>Data</h3> <p>The consistent format chosen for release consists of SGML tagging and the ISO-8859-1 (Latin1) 8-bit character set. Our general strategy for SGML tagging is as follows: </p><p>All document units (articles) are bounded by the tags DOC and /DOC, and within these units, the text content of each article is bounded by TEXT and /TEXT. Following each DOC tag is a DOCID tag that provides a unique identifying string for that article. Other tags within the DOC unit (but external to TEXT) provide additional information that was receieved with the article (e.g. headline, dateline, byline, keywords, etc), but the inventory and nature of additional information varies from one source to the next (and in some cases, from one article to the next), and this variability is reflected in the SGML tags that are used to preserve the information. Within the TEXT units, tagging is kept to a minimum, typically consisting only of paragraph tags. </p><h3>Updates</h3> There are no updates at this time. </br>
DOI: 10.35111/gq1x-j780
title: Treebank-3

description: <h3>Introduction</h3><br>
<p>This release contains the following <a href="http://catalog.ldc.upenn.edu/LDC95T7" rel="nofollow">Treebank-2</a> Material:</p><br>
<ul><br>
<li>One million words of 1989 Wall Street Journal material annotated in Treebank II style.</li><br>
<li>A small sample of ATIS-3 material annotated in Treebank II style.</li><br>
<li>A fully tagged version of the Brown Corpus.</li><br>
</ul><br>
<p>and the following new material:</p><br>
<ul><br>
<li>Switchboard tagged, dysfluency-annotated, and parsed text</li><br>
<li>Brown parsed text</li><br>
</ul><br>
<p>The Treebank bracketing style is designed to allow the extraction of simple predicate/argument structure. Over one million words of text are provided with this bracketing applied.</p><br>
<h3>Data</h3><br>
<p>The Penn Treebank (PTB) project selected 2,499 stories from a three year Wall Street Journal (WSJ) collection of 98,732 stories for syntactic annotation. These 2,499 stories have been distributed in both Treebank-2 (<a href="../../../LDC95T7">LDC95T7</a>) and Treebank-3 (<a href="../../../LDC99T42">LDC99T42</a>) releases of PTB. Treebank-2 includes the raw text for each story. Three "map" files are available in a compressed file (pennTB_tipster_wsj_map.tar.gz) as an additional download for users who have licensed Treebank-2 and provide the relation between the 2,499 PTB filenames and the corresponding WSJ DOCNO strings in TIPSTER.</p><br>
<h3>Samples</h3><br>
<p>Please view the following samples:</p><br>
<ul><br>
<li><a href="desc/addenda/LDC99T42.pos.txt">Part-of-Speech Tags</a></li><br>
<li><a href="desc/addenda/LDC99T42.dff.txt">Dysfluency Annotation</a></li><br>
<li><a href="desc/addenda/LDC99T42.mgd.txt">Dysfluency Annotation & Part-of-Speech Tags</a></li><br>
<li><a href="desc/addenda/LDC99T42.dps.txt">Dysfluency Annotation, Part-of-Speech Tags & Turns Joined</a></li><br>
<li><a href="desc/addenda/LDC99T42.prd.txt">Syntactic Annotation</a></li><br>
<li><a href="desc/addenda/LDC99T42.mrg.txt">Syntactic Annotation & Part-of-Speech Tags</a></li><br>
</ul><br>
<h3>Updates</h3><br>
<p>After publication, it was discovered that not all of the postscript (*.ps) files had been converted to pdfs and that some of the converted pdfs contained errors. For pdf copies of the documentation files, please go to <a href="desc/addenda/LDC1999T42" rel="nofollow">addenda</a> for a list of the files available.</p><br>
<p>As of October 5, 2016 252 wsj files from <a href="http://catalog.ldc.upenn.edu/LDC95T7" rel="nofollow">Treebank-2</a> were added that were previously missing.</p><br>
<p>As of February, 2017, 2,499 "raw" wsj files were added from Treebank-2 (<a href="../../../LDC95T7">LDC95T7</a>).</p><br>
<p>Corpus downoads after these dates will include these missing files.</p></br>
Portions © 1987-1989 Dow Jones & Company, Inc., © 1993-1995, 1999 Trustees of the University of Pennsylvania
DOI: 10.6084/m9.figshare.14893322
title: Signature whistles of the demographic unit of bottlenose dolphins (<i>Tursiops truncatus</i>) inhabiting the Eastern Ligurian Sea: characterisation and comparison with the literature

description: Bottlenose dolphins (<i>Tursiops truncatus</i>) make extensive use of narrowband whistles with individually distinctive frequency modulations to broadcast their identity: the signature whistles. The acoustic structure of the signature whistles tends to be stable over decades. Therefore, these vocalisations have the potential to be used for monitoring individuals over time. Our study investigated the acoustic structure of the signature whistles of the demographic unit of bottlenose dolphins inhabiting the Eastern Ligurian Sea (Italy), within the Pelagos Sanctuary. Through visual categorisation of spectrograms, we identified 941 whistle contours, 469 of them were classified as signature whistles using the SIGnature IDentification (SIG-ID) method. We further grouped these into 19 different categories based on their stereotyped frequency modulation patterns. To support our categorisation, we used a combination of a visual classification task conducted by six naïve judges and an automated analysis, the principal component analysis. Overall, this study characterises the signature whistles of the demographic unit of bottlenose dolphins inhabiting the Ligurian Sea for the first time. Furthermore, when comparing the acoustic features of these whistles with those of other different demographic units available from the literature, we observed differences in the values of the minimum and maximum frequencies. Considering the critical vessel traffic of our study area, we interpreted these variations in light of the high levels of anthropogenic noise. We recommend further investigations to understand the mechanisms underpinning the acoustic variation of bottlenose dolphins’ signature whistles and to elaborate effective management and protection policies for this species.
DOI: 10.5066/p98xw245
title: Raster Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado

description: An ESRI GRID raster data model of the overburden material above the Mahogany bed was needed to perform calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment.
DOI: 10.6073/pasta/1c0054056a88d43c05c47e9e480270f7
title: Tree Growth in Macrosystems Biodiversity Project at Harvard Forest 2011-2013

description: Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains annual growth measurements of trees along a series of transects using the measures of diameter at breast height and/or diameter and ground height at the five Gentry plots set up at Harvard Forest. These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
DOI: 10.6084/m9.figshare.7965191.v2
title: Multivariate Stochastic Volatility Model With Realized Volatilities and Pairwise Realized Correlations

description: Although stochastic volatility and GARCH (generalized autoregressive conditional heteroscedasticity) models have successfully described the volatility dynamics of univariate asset returns, extending them to the multivariate models with dynamic correlations has been difficult due to several major problems. First, there are too many parameters to estimate if available data are only daily returns, which results in unstable estimates. One solution to this problem is to incorporate additional observations based on intraday asset returns, such as realized covariances. Second, since multivariate asset returns are not synchronously traded, we have to use the largest time intervals such that all asset returns are observed to compute the realized covariance matrices. However, in this study, we fail to make full use of the available intraday informations when there are less frequently traded assets. Third, it is not straightforward to guarantee that the estimated (and the realized) covariance matrices are positive definite. Our contributions are the following: (1) we obtain the stable parameter estimates for the dynamic correlation models using the realized measures, (2) we make full use of intraday informations by using pairwise realized correlations, (3) the covariance matrices are guaranteed to be positive definite, (4) we avoid the arbitrariness of the ordering of asset returns, (5) we propose the flexible correlation structure model (e.g., such as setting some correlations to be zero if necessary), and (6) the parsimonious specification for the leverage effect is proposed. Our proposed models are applied to the daily returns of nine U.S. stocks with their realized volatilities and pairwise realized correlations and are shown to outperform the existing models with respect to portfolio performances.
DOI: 10.6084/m9.figshare.7965191.v1
title: Multivariate Stochastic Volatility Model with Realized Volatilities and Pairwise Realized Correlations

description: Although stochastic volatility and GARCH (generalized autoregressive conditional heteroscedasticity) models have successfully described the volatility dynamics of univariate asset returns, extending them to the multivariate models with dynamic correlations has been difficult due to several major problems. First, there are too many parameters to estimate if available data are only daily returns, which results in unstable estimates. One solution to this problem is to incorporate additional observations based on intraday asset returns, such as realized covariances. Second, since multivariate asset returns are not synchronously traded, we have to use the largest time intervals such that all asset returns are observed in order to compute the realized covariance matrices. However, in this study, we fail to make full use of the available intraday informations when there are less frequently traded assets. Third, it is not straightforward to guarantee that the estimated (and the realized) covariance matrices are positive definite. Our contributions are the following: (1) we obtain the stable parameter estimates for the dynamic correlation models using the realized measures, (2) we make full use of intraday informations by using pairwise realized correlations, (3) the covariance matrices are guaranteed to be positive definite, (4) we avoid the arbitrariness of the ordering of asset returns, (5) we propose the flexible correlation structure model (e.g., such as setting some correlations to be zero if necessary), and (6) the parsimonious specification for the leverage effect is proposed. Our proposed models are applied to the daily returns of nine U.S. stocks with their realized volatilities and pairwise realized correlations and are shown to outperform the existing models with respect to portfolio performances.
DOI: 10.5281/zenodo.5028256
title: On the Crystal Structure of Colloidally Prepared Metastable Ag2Se Nanocrystals

description: Structural polymorphism is known for many bulk materials; however, on the nanoscale metastable polymorphs tend to form more readily than in the bulk, and with more structural variety. One such metastable polymorph observed for colloidal Ag<sub>2</sub>Se nanocrystals has traditionally been referred to as the “tetragonal” phase of Ag<sub>2</sub>Se. While there are reports on the chemistry and properties of this metastable polymorph, its crystal structure, and therefore electronic structure, has yet to be determined. We report that an anti-PbCl<sub>2</sub>-like structure type (space group <em>P</em>2<sub>1</sub>/<em>n</em>) accurately describes the powder X-ray diffraction and X-ray total scattering patterns of colloidal Ag<sub>2</sub>Se nanocrystals prepared by several different methods. Density functional theory (DFT) calculations indicate that the anti-PbCl<sub>2</sub>-like Ag<sub>2</sub>Se polymorph is a dynamically stable, narrow-band gap semiconductor. DFT results reveal a dense theoretical Ag<sub>2</sub>Se phase space with many low-energy polymorphs, which helps explain the large number of polymorphs reported in the literature. Analysis and calculation data are stored in the zip archive. The `ag2se-calcs.aiida.` contains the provenance of the calculations and can be imported into an AiiDA database instance. The antiPbCl2like_Ag2Se_laboratory.cif file is the Reitveld refined Ag2Se structure starting from the PbCl<sub>2</sub> structure.<br> Also hosted on GitHub with minor revisions. Published paper: https://doi.org/10.1021/acs.nanolett.1c02045
description: The experimental work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Grant No. DE-FG02-11ER46826 to R.L.B. Use of the Advanced Photon Source at Argonne National Laboratory was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357.