cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14190305.v1
title: Additional file 27 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 27. List of genes predicted in degradome analysis to be guided for cleavage by putative regulatory sRNAs (identified as DES) with best scoring matches.
DOI: 10.6084/m9.figshare.14190329
title: Additional file 3 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 3 MicroRNAs and small RNAs (other) for which expression is significantly changed during Pi-starvation in barley roots and shoots. ID numbers 1–138: miRNAs identified in roots (p-value
DOI: 10.6084/m9.figshare.14190329.v1
title: Additional file 3 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 3 MicroRNAs and small RNAs (other) for which expression is significantly changed during Pi-starvation in barley roots and shoots. ID numbers 1–138: miRNAs identified in roots (p-value
DOI: 10.6084/m9.figshare.14190335
title: Additional file 5 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 5 List of differentially expressed other small RNAs (ID 2097–2295) in barley shoots (low-Pi vs. control) identified in this study (Bonferroni corrected p-value
DOI: 10.6084/m9.figshare.14190335.v1
title: Additional file 5 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 5 List of differentially expressed other small RNAs (ID 2097–2295) in barley shoots (low-Pi vs. control) identified in this study (Bonferroni corrected p-value
DOI: 10.6084/m9.figshare.14190338
title: Additional file 6 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 6 List of differentially expressed other small RNAs (ID 139–1934) in barley roots (low-Pi vs. control) identified in this study (Bonferroni corrected p-value
DOI: 10.6084/m9.figshare.14190338.v1
title: Additional file 6 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 6 List of differentially expressed other small RNAs (ID 139–1934) in barley roots (low-Pi vs. control) identified in this study (Bonferroni corrected p-value
DOI: 10.6084/m9.figshare.14190347.v1
title: Additional file 9 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 9. The output of DES ShortStack analysis (upper panel) and RNA secondary structure visualization of potential new miRNA generated by forna tool (lower panel). Red color marks miRNA; yellow color marks miRNA star.
DOI: 10.6084/m9.figshare.14190347
title: Additional file 9 of Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

description: Additional file 9. The output of DES ShortStack analysis (upper panel) and RNA secondary structure visualization of potential new miRNA generated by forna tool (lower panel). Red color marks miRNA; yellow color marks miRNA star.
DOI: 10.6084/m9.figshare.14190371
title: Additional file 1 of Integrated microRNA and transcriptome profiling reveal key miRNA-mRNA interaction pairs associated with seed development in Tartary buckwheat (Fagopyrum tataricum)

description: Additional file 1: Table S1. Characteristic features of all the identified DCL, AGO, HYL1, SE, HST, and RDRs in tartary buckwheat genome. Table S2. Length distribution of sRNA sequences identified in developing tartary buckwheat seeds. Table S3. Information of identified conserved miRNAs. Table S4. Information of identified novel miRNAs. Table S5. Predicted target genes of miRNAs in tartary buckwheat. Table S6. Annotation of miRNAs target genes in tartary buckwheat. Table S7. Information of TFs targeting by miRNAs. Table S8. miRNAs have target genes are the orthologs of the known seed or organ size. Table S9. miRNAs have target genes are the orthologs of the known structural or regulatory genes of flavonoid biosynthesis. Table S10. KEGG pathways of the target genes of DEMs. Table S11. miRNA-mRNA interaction pairs show expression negative correlation during tartary buckwheat seed development. Table S12. Primers of sequences for qRT-PCR analysis. Table S13. Primers of sequences for RLM-5′RACE analysis.
DOI: 10.6084/m9.figshare.14190374
title: Additional file 2 of Integrated microRNA and transcriptome profiling reveal key miRNA-mRNA interaction pairs associated with seed development in Tartary buckwheat (Fagopyrum tataricum)

description: Additional file 2: Figure S1. Read length distribution of sRNAs. Figure S2. GO analysis of the target genes of DEMs. Figure S3. KEGG analysis of the target genes of DEMs.
DOI: 10.6084/m9.figshare.14190374.v1
title: Additional file 2 of Integrated microRNA and transcriptome profiling reveal key miRNA-mRNA interaction pairs associated with seed development in Tartary buckwheat (Fagopyrum tataricum)

description: Additional file 2: Figure S1. Read length distribution of sRNAs. Figure S2. GO analysis of the target genes of DEMs. Figure S3. KEGG analysis of the target genes of DEMs.
DOI: 10.6084/m9.figshare.14190371.v1
title: Additional file 1 of Integrated microRNA and transcriptome profiling reveal key miRNA-mRNA interaction pairs associated with seed development in Tartary buckwheat (Fagopyrum tataricum)

description: Additional file 1: Table S1. Characteristic features of all the identified DCL, AGO, HYL1, SE, HST, and RDRs in tartary buckwheat genome. Table S2. Length distribution of sRNA sequences identified in developing tartary buckwheat seeds. Table S3. Information of identified conserved miRNAs. Table S4. Information of identified novel miRNAs. Table S5. Predicted target genes of miRNAs in tartary buckwheat. Table S6. Annotation of miRNAs target genes in tartary buckwheat. Table S7. Information of TFs targeting by miRNAs. Table S8. miRNAs have target genes are the orthologs of the known seed or organ size. Table S9. miRNAs have target genes are the orthologs of the known structural or regulatory genes of flavonoid biosynthesis. Table S10. KEGG pathways of the target genes of DEMs. Table S11. miRNA-mRNA interaction pairs show expression negative correlation during tartary buckwheat seed development. Table S12. Primers of sequences for qRT-PCR analysis. Table S13. Primers of sequences for RLM-5′RACE analysis.
DOI: 10.5281/zenodo.4592824
title: A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs

description: Data and software for "A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs"
DOI: 10.5281/zenodo.4589933
title: A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs

description: Data and software for "A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs"
DOI: 10.5281/zenodo.4591424
title: NPTEL2020-Indian-English-Speech-Train-part7

description: English Speech Recognition dataset collected from NPTEL videos. For more information, check:<br> https://github.com/AI4Bharat/NPTEL2020-Indian-English-Speech-Dataset
DOI: 10.5281/zenodo.4591423
title: NPTEL2020-Indian-English-Speech-Train-part7

description: English Speech Recognition dataset collected from NPTEL videos. For more information, check:<br> https://github.com/AI4Bharat/NPTEL2020-Indian-English-Speech-Dataset
DOI: 10.5281/zenodo.4558698
title: Divar advertisements dataset

description: In partnership with Divar, Phanous Research and Innovation Centre has published this dataset. For more information refer to Divar ads dataset in Phanous Research and Innovation Centre.
description: {"references": ["https://phanous.ir/divar-ads-dataset/"]}
DOI: 10.5281/zenodo.4558697
title: Divar advertisements dataset

description: In partnership with Divar, Phanous Research and Innovation Centre has published this dataset. For more information refer to Divar ads dataset in Phanous Research and Innovation Centre.
description: {"references": ["https://phanous.ir/divar-ads-dataset/"]}
DOI: 10.14457/cu.the.1997.291
title: การปฏิบัติหน้าที่ของนักข่าวกีฬาหญิงและการยอมรับของเพื่อนร่วมงานชาย แหล่งข่าวและผู้บริหารข่าว
DOI: 10.6084/m9.figshare.14191049
title: Does market segmentation hinder the interregional CO2 flow in China? — Evidence from China’s inter-provincial MRIO table

description: <b>Datasets for "Does market segmentation hinder the interregional CO<sub>2</sub> flow in China? </b><b>— Evidence from China’s inter-provincial MRIO table"</b>
DOI: 10.6084/m9.figshare.14191049.v1
title: Does market segmentation hinder the interregional CO2 flow in China? — Evidence from China’s inter-provincial MRIO table

description: <b>Datasets for "Does market segmentation hinder the interregional CO<sub>2</sub> flow in China? </b><b>— Evidence from China’s inter-provincial MRIO table"</b>
DOI: 10.6084/m9.figshare.14191055
title: dataset_206.sav

description: This is a dataset for our online health communication research.
DOI: 10.6084/m9.figshare.14191055.v1
title: dataset_206.sav

description: This is a dataset for our online health communication research.
DOI: 10.6084/m9.figshare.14191061
title: Modified IEEE 69-bus distribution system parameters

description: IEEE 69-bus data
DOI: 10.5281/zenodo.4591448
title: NPTEL2020-Indian-English-Speech-Train-part8

description: English Speech Recognition dataset collected from NPTEL videos. For more information, check:<br> https://github.com/AI4Bharat/NPTEL2020-Indian-English-Speech-Dataset
DOI: 10.5281/zenodo.4591447
title: NPTEL2020-Indian-English-Speech-Train-part8

description: English Speech Recognition dataset collected from NPTEL videos. For more information, check:<br> https://github.com/AI4Bharat/NPTEL2020-Indian-English-Speech-Dataset
DOI: 10.5281/zenodo.4592860
title: Multiple sequence alignment of DNA-A sequences from ACMBFV, ACMV, CMMGV, EACMCV, EACMKV, EACMMV, EACMV, EACMZV, SACMV (9 species)

description: All DNA-A sequences available in GenBank as of July 2019 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were manually adjusted with SeAl (A. Rambaut) and AliView (A. Larsson).
DOI: 10.5281/zenodo.4592859
title: Multiple sequence alignment of DNA-A sequences from ACMBFV, ACMV, CMMGV, EACMCV, EACMKV, EACMMV, EACMV, EACMZV, SACMV (9 species)

description: All DNA-A sequences available in GenBank as of July 2019 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were manually adjusted with SeAl (A. Rambaut) and AliView (A. Larsson).
DOI: 10.5281/zenodo.4592854
title: Recombination detection program (RDP4) results for ACMBFV, ACMV, CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV DNA-A sequences

description: A DNA-A multiple alignment (Zenodo record 4592860) was scanned with RDP4.100 (D. Martin et al. 2015). The input sequences belong to 9 species: ACMBFV, ACMV, CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV. Recombination breakpoints for events with statistical support from at least 5 of 7 methods were adjusted per the manual. A CSV file with the results was exported and then saved in Excel format. These results will be described in a manuscript by Crespo-Bellido et al.
DOI: 10.5281/zenodo.4592853
title: Recombination detection program (RDP4) results for ACMBFV, ACMV, CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV DNA-A sequences

description: A DNA-A multiple alignment (Zenodo record 4592860) was scanned with RDP4.100 (D. Martin et al. 2015). The input sequences belong to 9 species: ACMBFV, ACMV, CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV. Recombination breakpoints for events with statistical support from at least 5 of 7 methods were adjusted per the manual. A CSV file with the results was exported and then saved in Excel format. These results will be described in a manuscript by Crespo-Bellido et al.
DOI: 10.5445/ir/1000130223
title: Numerical experiments to the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions"

description: This code is used for the numerical experiments in the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions" by Jan Leibold (cf. Section 6.5)
DOI: 10.5281/zenodo.3935733
title: Hipathia version of the COVID-19 map

description: <strong>Hipathia version of the COVID-19 Disease Map provided by http://doi.org/10.17881/covid19-disease-map</strong>
DOI: 10.5281/zenodo.3935732
title: Hipathia version of the COVID-19 map

description: <strong>Hipathia version of the COVID-19 Disease Map provided by http://doi.org/10.17881/covid19-disease-map</strong>
DOI: 10.6084/m9.figshare.14191085
title: TEMS study

description: Basic information and the responses of the participants
DOI: 10.6084/m9.figshare.14191085.v1
title: TEMS study

description: Basic information and the responses of the participants
DOI: 10.5281/zenodo.4592919
title: Multiple alignment of ICMV and SLCMV DNA-A sequences

description: All DNA-A sequences available in GenBank as of July 2019 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were manually adjusted with SeAl (A. Rambaut) and AliView (A. Larsson).
DOI: 10.5281/zenodo.4592918
title: Multiple alignment of ICMV and SLCMV DNA-A sequences

description: All DNA-A sequences available in GenBank as of July 2019 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were manually adjusted with SeAl (A. Rambaut) and AliView (A. Larsson).
DOI: 10.6084/m9.figshare.14191082
title: Crocosphaera_WH0005_assembly

description: The reference genome assembled here is composed of 126 contigs, only 1/10 of the number of contigs in the previous reference of this strain
DOI: 10.5281/zenodo.4592926
title: Recombination detection program (RDP4) results for ICMV and SLCMV DNA-A sequences

description: A DNA-A multiple alignment (Zenodo record 4592919) was scanned with RDP4.100 (D. Martin et al. 2015). The input sequences belong to 2 species: ICMV and SLCMV. Recombination breakpoints for events with statistical support from at least 5 of 7 methods were adjusted per the manual. A CSV file with the results was exported. These results will be described in a manuscript by Crespo-Bellido et al.
DOI: 10.5281/zenodo.4592925
title: Recombination detection program (RDP4) results for ICMV and SLCMV DNA-A sequences

description: A DNA-A multiple alignment (Zenodo record 4592919) was scanned with RDP4.100 (D. Martin et al. 2015). The input sequences belong to 2 species: ICMV and SLCMV. Recombination breakpoints for events with statistical support from at least 5 of 7 methods were adjusted per the manual. A CSV file with the results was exported. These results will be described in a manuscript by Crespo-Bellido et al.
DOI: 10.6084/m9.figshare.14191133.v1
title: OISST_upwell_base.RData

description: Data used in my manuscript of upwelling<br>
DOI: 10.6084/m9.figshare.14191133
title: OISST_upwell_base.RData

description: Data used in my manuscript of upwelling<br>
DOI: 10.6084/m9.figshare.14191148.v1
title: CMC_2015_upwell_base.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191148
title: CMC_2015_upwell_base.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191139
title: G1SST_upwell_base.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191139.v1
title: G1SST_upwell_base.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191130.v1
title: MUR_upwell_base.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191130
title: MUR_upwell_base.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191136
title: OISST_2015_upwell_base.RData

description: Data used in Manuscript<br>
DOI: 10.6084/m9.figshare.14191136.v1
title: OISST_2015_upwell_base.RData

description: Data used in Manuscript<br>
DOI: 10.5281/zenodo.4592938
title: On the form drag coefficient under ridged ice: Laboratory experiments and numerical simulation dataset

description: The uploaded files cover all the cases used in the research, including the force values in the laboratory experiments and numerical simulation.
DOI: 10.6084/m9.figshare.14191127
title: MUR_upwell_base_2015.RData

description: Data used in manuscript<br>
DOI: 10.6084/m9.figshare.14191127.v1
title: MUR_upwell_base_2015.RData

description: Data used in manuscript<br>
DOI: 10.5281/zenodo.4270714
title: On the form drag coefficient under ridged ice: Laboratory experiments and numerical simulation dataset

description: The uploaded files cover all the cases used in the research, including the force values in the laboratory experiments and numerical simulation.
DOI: 10.6084/m9.figshare.14191142
title: CMC_upwell_base.RData

description: Subset of data used in my manuscript<br>
DOI: 10.6084/m9.figshare.14191142.v1
title: CMC_upwell_base.RData

description: Subset of data used in my manuscript<br>
DOI: 10.6084/m9.figshare.11559852
title: Assessing_the_reliability_of_predicted_plant_trait_distributions_at_the_global_scale.txt

description: Global trait data (SLA, LNC, height, wood density) of vascular plants, georeferenced at community mean level. Data includes intra-specific trait variation. We also have global predictions of these traits at 0.5degree resolution.<br>
DOI: 10.6084/m9.figshare.11559852.v1
title: Assessing_the_reliability_of_predicted_plant_trait_distributions_at_the_global_scale.txt

description: Global trait data (SLA, LNC, height, wood density) of vascular plants, georeferenced at community mean level. Data includes intra-specific trait variation. We also have global predictions of these traits at 0.5degree resolution.<br>
DOI: 10.6084/m9.figshare.14191106
title: Dataset_InterventionsForMusic.sav

description: Data set to the article 'Testing interventions for music performance under pressure: A randomized control study'<br>
DOI: 10.6084/m9.figshare.14191106.v1
title: Dataset_InterventionsForMusic.sav

description: Data set to the article 'Testing interventions for music performance under pressure: A randomized control study'<br>
DOI: 10.14768/medd-xa16
title: The High-Tune Explorer : The Radiative Effect of 3D Clouds

description: High-Tune:Explorer is a suite of programs developed in the frame of the High-Tune project, supported by the ANR French research agency. The data available on this DOI is linked to the third part of a series of publications in Journal of Advances in Modeling Earth Systems. Data for the first two parts are available at https://doi.org/10.14768/29fbfe70-a8e8-41db-914c-b14be9a6f90b. Process-based climate model development harnessing machine learning: III. The Representation of Cumulus Geometry and their 3D Radiative Effects Process-scale development, evaluation and calibration of physically-based parameterizations of clouds and radiation are powerful levers for improving weather and climate models. In a series of papers, we propose a strategy for process-based calibration of climate models that uses machine learning techniques. It relies on systematic comparisons of single-column versions of climate models with explicit simulations of boundary-layer dynamics and clouds (LES). This paper focuses on the calibration of cloud geometry parameters (vertical overlap, horizontal heterogeneity and cloud size) that appear in the parameterization of radiation. The solar component of a radiative transfer scheme that includes a parameterization for 3D radiative effects of clouds (SPARTACUS) is run in offline single-column mode on an ensemble of input cloud profiles synthesized from LES outputs. The space of cloud geometry parameter values is efficiently explored by sampling a large number of parameter sets (configurations) from which radiative metrics are computed using fast surrogate models that emulate the SPARTACUS solver. The sampled configurations are evaluated by comparing these radiative metrics to reference values provided by a 3D radiative transfer Monte Carlo model. The best calibrated configurations yield better predictions of TOA and surface fluxes than the one that uses parameter values computed from the 3D cloud fields: the root-mean-square errors averaged over cumulus cloud fields and solar angles are reduced from ~ 10 W/m² with LES-derived parameters to ~ 5 W/m² with adjusted parameters. However, the calibration of cloud geometry fails to reduce the errors on absorption, which remain around 2 to 4 W/m².
DOI: 10.6084/m9.figshare.14191244
title: Supplementary Material for: A New Concept for Central Wedge Resection in Labiaplasty

description: <b><i>Objective:</i></b> The aim of the study was to develop a new concept for central wedge resection to improve surgical results. Currently, the most common postoperative complications of the regular central wedge (RV) resection technique are wound dehiscence and scar contracture. <b><i>Methods:</i></b> A case-control study was applied to randomly divide 119 patients with labia minora hypertrophy deformities into 2 groups: new central wedge (NV) (<i>n</i> = 57) and RV (<i>n</i> = 62). All patients underwent the corresponding corrective surgery to repair the deformity. During the NV procedure, we changed the direction of the scalpel to form 2 inclined sections and sutured these sections together to achieve nonparallel closure lines. The patients in the 2 groups were followed up at 1 and 6 months postoperatively. We described the details of this method and evaluated the treatment outcomes of the 2 groups. <b><i>Results:</i></b> Patient age, labia minora width, and procedure time were not significantly different between the 2 groups (<i>p</i> &gt; 0.05). However, the visual analog scale (VAS) scores in the 2 groups were significantly different (<i>p</i> &lt; 0.05). Two patients in the NV group were somewhat dissatisfied because of lymphoedema and asymmetry; 6 patients in the RV group expressed dissatisfaction with scarring, healing complications, and asymmetry. A minor corrective operation was performed for asymmetry, and the dehiscence healed spontaneously. The patient with edema is still being followed up. <b><i>Conclusion:</i></b> The surgical method we introduced was indicated to be a simple and effective procedure that avoided wound dehiscence and scar contracture, which are common with the regular approach.
DOI: 10.6084/m9.figshare.14170622
title: Data for Fast photothermal spatial light modulation for quantitative phase imaging at the nanoscale

description: Hadrien ML Robert; Holanová, Kristýna; Bujak, Łukasz; Vala, Milan; Henrichs, Verena; Lánský, Zdeněk; et al. (2021): Data for Fast photothermal spatial light modulation for quantitative phase imaging at the nanoscale. figshare. <br>Dataset. https://doi.org/10.6084/m9.figshare.14170622.v1<br> <br>