cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/0p70-3r11
title: IARPA Babel Pashto Language Pack IARPA-babel104b-v0.4bY

description: <h3>Introduction</h3><br>
<p>IARPA Babel Pashto Language Pack IARPA-babel104b-v0.4bY 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 244 hours of Pashto conversational and scripted telephone speech collected in 2011 and 2012 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 Pashto speech in this release represents that spoken in four dialect regions of Afghanistan and Pakistan. The gender distribution among speakers is approximately 30% female, 70% male; speakers' ages range from 17 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>All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: an extended Arabic script and a modified <a href="../../../LDC2004L02">Buckwalter</a> transliteration scheme, both encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Additional 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/LDC2016S09.sph">Audio Sample</a></li><br>
<li><a href="desc/addenda/LDC2016S09.txt">Transcript Sample</a></li><br>
<li><a href="desc/addenda/LDC2016S09.rom.txt">Romanized Transcript 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.6462143
title: Detail information of differential expressed genes related to chlorophyll metabolic and photosynthesis of grapevine under waterlogging stress. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information and functional annotation of differentially regulated genes related to chlorophyll metabolic and photosynthesis.
DOI: 10.6084/m9.figshare.6462155
title: Zhu_ tables _ESM 6.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.14843280
title: Additional file 3 of Downstream of GA4, PbCYP78A6 participates in regulating cell cycle-related genes and parthenogenesis in pear (Pyrus bretshneideri Rehd.)

description: Additional file 3: Supplementary Table S1. Common differentially expressed genes in pollinated and GA4-treatment groups.
DOI: 10.6084/m9.figshare.6462143.v1
title: Detail information of differential expressed genes related to chlorophyll metabolic and photosynthesis of grapevine under waterlogging stress. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information and functional annotation of differentially regulated genes related to chlorophyll metabolic and photosynthesis.
DOI: 10.6084/m9.figshare.6462158
title: List of genes only expressed in one library. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information of genes identified only in the control group or the treatment group.
DOI: 10.6084/m9.figshare.14843289
title: Additional file 6 of Downstream of GA4, PbCYP78A6 participates in regulating cell cycle-related genes and parthenogenesis in pear (Pyrus bretshneideri Rehd.)

description: Additional file 6. The percentages of total clean reads mapped to the reference pear (P. bretschneideri Rehd.) genome.
DOI: 10.6084/m9.figshare.6462158.v1
title: List of genes only expressed in one library. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information of genes identified only in the control group or the treatment group.
DOI: 10.6084/m9.figshare.6462164.v1
title: Zhu_ tables _ESM 9.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.6462170
title: Real-time PCR primer information of 30 differently expressed genes. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The corresponding primer sequence information used in Real-Time quantitative RT-PCR verification of 30 differently expressed genes.
DOI: 10.6084/m9.figshare.6462167
title: Zhu_ tables _ESM 8.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.14843289.v1
title: Additional file 6 of Downstream of GA4, PbCYP78A6 participates in regulating cell cycle-related genes and parthenogenesis in pear (Pyrus bretshneideri Rehd.)

description: Additional file 6. The percentages of total clean reads mapped to the reference pear (P. bretschneideri Rehd.) genome.
DOI: 10.6084/m9.figshare.6462170.v1
title: Real-time PCR primer information of 30 differently expressed genes. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The corresponding primer sequence information used in Real-Time quantitative RT-PCR verification of 30 differently expressed genes.
DOI: 10.6084/m9.figshare.14843407.v1
title: Additional file 1 of Afterload-related reference values for myocardial work indices

description: Additional file 1. Data.
DOI: 10.35111/3j2w-kb06
title: IARPA Babel Tamil Language Pack IARPA-babel204b-v1.1b

description: <h3>Introduction</h3><br>
<p>IARPA Babel Tamil Language Pack IARPA-babel204b-v1.1b 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 350 hours of Tamil 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 Tamil speech in this release represents that spoken in the Northern, Central, Southern and Western dialect regions of the Indian state of Tamil Nadu. 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. The romanization scheme was developed by Appen. Further information about transcription methodology is contained in the documentation accompanying this release.</p><br>
<p>Additional 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/LDC2017S13.sph">Audio</a></li><br>
<li><a href="desc/addenda/LDC2017S13.txt">Transcript</a></li><br>
<li><a href="desc/addenda/LDC2017S13.rom.txt">Romanized Transcript</a></li><br>
</ul><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: 10.35111/4m6a-1x29
title: IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c

description: <h3>Introduction</h3><br>
<p>IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c 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 215 hours of Cantonese conversational and scripted telephone speech collected in 2011 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 Cantonese speech in this release represents that spoken in the Chinese provinces of Guangdong and Guangxi, and within those provinces, among five dialect groups. The gender distribution among speakers is approximately even; 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>All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: simplified Chinese characters and a romanization scheme based on the Yale system, 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/LDC2016S02.sph">audio sample</a></li><br>
<li><a href="desc/addenda/LDC2016S02.txt">transcription</a></li><br>
<li><a href="desc/addenda/LDC2016S02.rom.txt">romanized transcription</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: 10.35111/5jdb-wp44
title: IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b

description: <h3>Introduction</h3><br>
<p>IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b 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 215 hours of Bengali conversational and scripted telephone speech collected in 2011 and 2012 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 Bengali speech in this release represents that spoken in India by native speakers of Bengali born in India. The gender distribution among speakers is approximately even; 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>All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: the Bengali 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/LDC2016S08.sph">Audio Sample</a></li><br>
<li><a href="desc/addenda/LDC2016S08.txt">Transcript Sample</a></li><br>
<li><a href="desc/addenda/LDC2016S08.rom.txt">Romanized Transcript 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.6461603
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).
DOI: 10.6084/m9.figshare.14843280.v1
title: Additional file 3 of Downstream of GA4, PbCYP78A6 participates in regulating cell cycle-related genes and parthenogenesis in pear (Pyrus bretshneideri Rehd.)

description: Additional file 3: Supplementary Table S1. Common differentially expressed genes in pollinated and GA4-treatment groups.
DOI: 10.6084/m9.figshare.21666149
title: Mantle magmatism, metamorphism and anatexis: evidence from geochemistry and zircon U–Pb-Hf isotopes of Paleoproterozoic S-type granites, Khondalite Belt of the North China Craton

description: S-type granites constitute an important component of the Paleoproterozoic Khondalite Belt in the North China Craton. Here we present results from petrography, geochemistry and isotope geochronology on the porphyritic garnet-bearing syenogranite and garnet-bearing monzogranite samples in the Jining-Liangcheng area. The geochemical characteristics of these samples indicate formation through partial anatexis of the khondalites, with heat and material input from mantle-derived magma. Geochemical similarities between the porphyritic garnet-bearing syenogranite, garnet-bearing monzogranite, and metapelitic gneiss suggest their broad affinity. Sensitive high-resolution ion microprobe zircon U–Pb dating revealed that the S-type granites formed at ca. 1.92–1.90 Ga and were subsequently metamorphosed at ca. 1.85 Ga. The ca. 1.92–1.91 Ga porphyritic garnet-bearing syenogranite shows zircon εHf(t) values of −1.94–+3.38 with two-stage Hf crustal model ages (T<sub>DM2</sub>) ages of ca. 2.42–2.59 Ga. The 1.91–1.90-Ga garnet-bearing monzogranites show zircon εHf(t) values ranging from −4.36 to +0.38, with T<sub>DM2</sub> ranging from ca. 2.57 to ca. 2.82 Ga. The geochemical isotopic compositions suggest that the porphyritic garnet-bearing syenogranite and garnet-bearing monzogranite originated from the partial melting of pre-existing crust of heterogeneous compositions with the addition of mantle-derived material. On the basis of our results, combined with geological data on the Paleoproterozoic structural evolution of the Khondalite Belt, we assume that the timing of the metamorphism and anatexis in the Jining–Liangcheng area is correlated with a regional metamorphism and mantle-derived magmatism.
DOI: 10.6084/m9.figshare.14843407
title: Additional file 1 of Afterload-related reference values for myocardial work indices

description: Additional file 1. Data.
DOI: 10.35111/ehfb-ka57
title: IARPA Babel Amharic Language Pack IARPA-babel307b-v1.0b

description: <h3>Introduction</h3><br>
<p>IARPA Babel Amharic Language Pack IARPA-babel307b-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 204 hours of Amharic conversational and scripted telephone speech collected in 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 Amharic speech in this release represents the Addis Ababa, Shewa, and Gondar dialect regions of Ethiopia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 60 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 in fidel (Ge&rsquo;ez/Ethiopic) script and in a romanization scheme developed by Appen. Transcripts are included for approximately 75% 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 the following samples:</p><br>
<ul><br>
<li><a href="desc/addenda/LDC2019S22.sph">Speech</a></li><br>
<li><a href="desc/addenda/LDC2019S22.rom.txt">Romanized Transcript</a></li><br>
<li><a href="desc/addenda/LDC2019S22.txt">Transcript</a></li><br>
</ul><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.14843329
title: Additional file 10 of Morphological changes and functional circRNAs screening of rabbit skeletal muscle development

description: Additional file 10: miRNAs with DE-circRNA binding sites.
DOI: 10.6084/m9.figshare.14843332
title: Additional file 11 of Morphological changes and functional circRNAs screening of rabbit skeletal muscle development

description: Additional file 11: Convergent and divergent primer pairs used for qPCR and PCR amplification.