cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/jsat-3y71
title: IARPA Babel Kurmanji Kurdish Language Pack IARPA-babel205b-v1.0a

description: <h3>Introduction</h3><br>
<p>IARPA Babel Kurmanji Kurdish Language Pack IARPA-babel205b-v1.0a was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 203 hours of Kurmanji Kurdish conversational and scripted telephone speech collected in 2013 and 2014 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The Kurmanji Kurdish speech in this release represents that spoken in the southeastern and eastern Anatolian regions of Turkey. The gender distribution among speakers is approximately 37% female and 63% male; speakers' ages range from 16 years to 70 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view the following <a href="desc/addenda/LDC2017S22.sph">audio sample</a> and <a href="desc/addenda/LDC2017S22.txt">transcript sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government,<br>
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.35111/2g9c-2n49
title: IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e

description: <h3>Introduction</h3><br>
<p>IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 200 hours of Tok Pisin conversational and scripted telephone speech collected in 2013 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The Tok Pisin speech in this release represents that spoken in the Papuan dialect region of Papua New Guinea. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2018S02.sph">audio sample</a> and <a href="desc/addenda/LDC2018S02.txt">transcript sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government<br>
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.35111/vm6x-za86
title: IARPA Babel Telugu Language Pack IARPA-babel303b-v1.0a

description: <h3>Introduction</h3><br>
<p>IARPA Babel Telugu Language Pack IARPA-babel303b-v1.0a was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 201 hours of Telugu conversational and scripted telephone speech collected in 2013 and 2014 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The Telugu speech in this release represents that spoken in the Central, East, South and North Telugu dialect regions of India. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are available in two versions: the Telugu script and a romanization scheme developed by Appen, both encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2018S16.sph">audio sample</a>, <a href="desc/addenda/LDC2018S16.txt">transcript sample</a>, and <a href="desc/addenda/LDC2018S16.rom.txt">romanized transcript</a> sample.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government</br>
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.35111/7988-wd73
title: IARPA Babel Igbo Language Pack IARPA-babel306b-v2.0c

description: <h3>Introduction</h3><br>
<p>IARPA Babel Igbo Language Pack IARPA-babel306b-v2.0c was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 207 hours of Igbo conversational and scripted telephone speech collected in 2014 and 2015 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The Igbo speech in this release represents the Owerri, Onitsha, and Ngwa dialects spoken in Nigeria. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 67 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8 and included for approximately 65% of the speech. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2019S16.sph">audio sample</a> and <a href="desc/addenda/LDC2019S16.txt">transcript sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government</br>
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.35111/6n78-9c72
title: IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b

description: Introduction

IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Javanese conversational and scripted telephone speech collected in 2014 and 2015 along with corresponding transcripts.

The Babel program focused on underserved languages and sought to develop speech recognition technology that could be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.
Data

The Javanese speech in this release represents the Central, Western, and Eastern Javanese dialect regions of Indonesia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.

Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format.

Transcripts are encoded in UTF-8 in Latin script; they cover approximately 77% of the speech data. Further information about transcription methodology is contained in the documentation accompanying this release.

Evaluation data is available from NIST in support of OpenKWS.
Samples

Please view this audio sample and transcript sample.
Updates

None at this time.
DOI: 10.35111/m5qd-dk93
title: IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b

description: <h3>Introduction</h3><br>
<p>IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 210 hours of Lithuanian conversational and scripted telephone speech collected in 2013 and 2014 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The Lithuanian speech in this release represents that spoken in the Auk&scaron;taitian and Samogitian dialect regions of Lithuania. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 71 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2019S03.sph">audio sample</a> and <a href="desc/addenda/LDC2019S03.txt">transcript sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government</br>
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.34740/kaggle/dsv/7613695
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.6461117
title: Additional file 14: of Distinct tissue-specific transcriptional regulation revealed by gene regulatory networks in maize

description: Homologs of shared TF by more than two tissues in Arabidopsis. Genes without homologs identified by BioMart were left blank. (XLSX 11 kb)
DOI: 10.35111/0fgh-ma62
title: IARPA Babel Assamese Language Pack IARPA-babel102b-v0.5a

description: <h3>Introduction</h3><br>
<p>IARPA Babel Assamese Language Pack IARPA-babel102b-v0.5a was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 205 hours of Assamese conversational and scripted telephone speech collected in 2012 and 2013 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The speech in this release represents three dialects spoken in Assam, a state in northeastern India. The gender distribution among speakers is approximately even; speakers' ages range from 16 years to 66 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: Assamese script and a romanization scheme developed by Appen Butler Hill, both encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view the following samples:</p><br>
<ul><br>
<li><a href="desc/addenda/LDC2016S06.sph">Audio Sample</a></li><br>
<li><a href="desc/addenda/LDC2016S06.txt">Transcription Sample</a></li><br>
<li><a href="desc/addenda/LDC2016S06.rom.txt">Romanized Transcription Sample</a></li><br>
</ul><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.6084/m9.figshare.6461573
title: MOESM3 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 3: Table S3. The effects of Rhizoma coptidis on AMPK pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.12955259.v1
title: Additional file 2 of Study on metastasis inhibition of Kejinyan decoction on lung cancer by affecting tumor microenvironment

description: Additional file 2: Fig. S2. Survival time of the mice treated with different concentrations of Kejinyan decoction.
DOI: 10.6084/m9.figshare.6461165.v1
title: Additional file 1: of Whole genome sequencing reveals high clonal diversity of Escherichia coli isolated from patients in a tertiary care hospital in Moshi, Tanzania

description: Table S1. A pairwise genome comparison matrix of SNP differences for E. coli ST131. (XLS 34 kb)
DOI: 10.6084/m9.figshare.6461573.v1
title: MOESM3 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 3: Table S3. The effects of Rhizoma coptidis on AMPK pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.6461183.v1
title: Additional file 2: of Whole genome sequencing reveals high clonal diversity of Escherichia coli isolated from patients in a tertiary care hospital in Moshi, Tanzania

description: Table S2. A pairwise genome comparison matrix of SNP differences for E. coli ST10 clonal complex. (XLS 29 kb)
DOI: 10.35111/rwmc-nm96
title: IARPA Babel Kazakh Language Pack IARPA-babel302b-v1.0a

description: <h3>Introduction</h3><br>
<p>IARPA Babel Kazakh Language Pack IARPA-babel302b-v1.0a was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 203 hours of Kazakh conversational and scripted telephone speech collected in 2013 and 2014 along with corresponding transcripts.</p><br>
<p>The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.</p><br>
<h3>Data</h3><br>
<p>The Kazakh speech in this release represents that spoken in the Northeastern and Southern dialect regions of Kazakhstan. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 64 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2018S13.sph">audio sample</a>, <a href="desc/addenda/LDC2018S13.txt">transcript sample</a>, and <a href="desc/addenda/LDC2018S13.rom.txt">romanized transcript</a> sample.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government</br>
</br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
DOI: 10.6084/m9.figshare.6461591.v1
title: MOESM4 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 4: Table S4. The effects of Rhizoma coptidis on PI3K-Akt pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.6461621.v1
title: MOESM6 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 6: Table S6. The effects of Rhizoma coptidis on Oxidative Stress pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.6461219.v1
title: Additional file 3: of Distinct tissue-specific transcriptional regulation revealed by gene regulatory networks in maize

description: Evaluation of tissue GRNs generated by MRNET and CLR. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.7509980
title: Thermal Distortion Analysis of Inflatable Antenna Structures Considering Inflation Gas

description: ABSTRACT This paper addresses the static distortion and stress analysis of inflatable antenna structures subjected to a thermal load, which is a very important type of load experienced by such structures during service in orbit. Non-linear finite element analysis methods for inflatable structures were formulized, and the thermal stress of thin films was considered. The dynamic relaxation method was used to address the singularity problem of the stiffness matrix for the non-pre-stressed membrane structures. When the thermal load is changing, the state of the inflation gas inside the structure chamber varies, as well as the thermal stress of the membrane material. An iterative algorithm was presented to solve this coupling problem between thermal load, the structures, and inflation gas. The presented algorithm has been implemented into an own finite element code of inflatable structures. The thermal deformation and the stress distribution of a 3.2-m inflatable antenna structure were analyzed to illustrate the feasibility of the numerical method. The results indicated that the change in the state of the inflation gas adversely affects the structural performance, so the inflation gas must be considered.
DOI: 10.6073/pasta/52374ac26212223e10d9dfce9ada0d3a
title: DroughtNet: Establishing the International Drought Experiment at Cedar Creek sIDE (savanna IDE) : Aboveground Biomass

description: Abstract: Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The sIDE (savanna IDE) study will be established in Field D, an oak savanna, and will consist of 3 precipitation treatments (precipitation reduction shelter, inverted shelter as an infrastructure control, no shelter), fully crossed with two fertilization treatments (unamended control or NutNet NPK treatment), and with 5 replicate plots for each of the six treatment combinations, for a total of 30 plots, each 3 by 3 m (2 by 2 m inner area sampled), covered by 3 by 3 m shelters. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many sites will also measure light availability, root biomass, soil moisture, and decomposition rates of tea bags and tongue depressors. Pre-treatment data will be collected during 2016. The experiment is expected to have minimal impacts on Cedar Creek and on other projects
DOI: 10.6084/m9.figshare.6461405
title: Additional file 11: of A newly formed hexaploid wheat exhibits immediate higher tolerance to nitrogen-deficiency than its parental lines

description: Table S2. Primers for q-RT-PCR analysis. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6461240.v1
title: Additional file 5: of Distinct tissue-specific transcriptional regulation revealed by gene regulatory networks in maize

description: The 353 TFs and 1657 targets included in the 2679 edges shared by four tissue GRNs. (XLSX 70Â kb)
DOI: 10.6084/m9.figshare.12228257.v1
title: Additional file 1 of Increased mortality of acute respiratory distress syndrome was associated with high levels of plasma phenylalanine

description: Additional file 1.
DOI: 10.6084/m9.figshare.6461603.v1
title: MOESM5 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 5: Table S5. The effects of Rhizoma coptidis on ERS pathways (â indicates inhibition/reduction, â indicates increase).