cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6693206
title: SWEAT RATE MEASUREMENTS AFTER HIGH INTENSITY INTERVAL TRAINING USING BODY WEIGHT

description: ABSTRACT Introduction: Physical activity raises body temperature, increases the sweat rate and accelerates fluid loss during exercise, thereby impairing exercise performance. However, studies using the high intensity interval training (HIIT) approach and its effects on rates of perspiration and hydration are still inconclusive. Objectives: The objective of this study was to assess sweating and water loss during an HIIT workout session, using body weight, with healthy college students. Methods: Twenty male individuals (31 ± 07 years) were split into two groups: Active group (AG) and Inactive group (IG). The HIIT workout protocol, using body weight, consisted of a single bout with 1:1 stimuli, being: 30” “all out” intensity, involving jumping jack, mountain climber, burpee and squat jump exercises; and 30” of passive recovery, totaling 20 minutes of exercises. For comparison purposes, after 48 hours all the individuals underwent the continuous running protocol with intensity corresponding to 75% of maximum heart rate for 40 minutes. The intensity of the session was monitored continuously, at each 30”, using the perceived exertion scale for both protocols. To ensure euhydration status, all individuals ingested 500 ml of water 120 minutes before the training session. Results: Significant differences (p= 0.01) were found in body mass after HIIT compared to the Moderate session in both Active (HIIT: -0.60 ± 0.29 kg, Moderate: -0.26 ± 0.12 kg) and Inactive (HIIT: -0.92 ± 0.30 kg, Moderate: -0.26 ± 0.26 kg) groups, however, no differences were found between groups. Absolute sweating rate values comparing moderate and HIIT single bout in Inactive (Moderate: 10.55 ± 10.59 ml/min; HIIT: 28.90 ± 13.88 ml/min) and Active (Moderate: 9.60 ± 4.52 ml/min; HIIT: 26.00 ± 15.06 ml/min) groups were different between types of exercise, but not between groups. Conclusions: The sweating rate is influenced by the intensity of the exercise, being higher after HIIT than after a moderate exercise session. However, the sweating rate variation is not affected by the subjects’ physical activity level. Level of Evidence II; Diagnostic studies-Investigating a diagnostic test.
DOI: 10.6084/m9.figshare.6693206.v1
title: SWEAT RATE MEASUREMENTS AFTER HIGH INTENSITY INTERVAL TRAINING USING BODY WEIGHT

description: ABSTRACT Introduction: Physical activity raises body temperature, increases the sweat rate and accelerates fluid loss during exercise, thereby impairing exercise performance. However, studies using the high intensity interval training (HIIT) approach and its effects on rates of perspiration and hydration are still inconclusive. Objectives: The objective of this study was to assess sweating and water loss during an HIIT workout session, using body weight, with healthy college students. Methods: Twenty male individuals (31 ± 07 years) were split into two groups: Active group (AG) and Inactive group (IG). The HIIT workout protocol, using body weight, consisted of a single bout with 1:1 stimuli, being: 30” “all out” intensity, involving jumping jack, mountain climber, burpee and squat jump exercises; and 30” of passive recovery, totaling 20 minutes of exercises. For comparison purposes, after 48 hours all the individuals underwent the continuous running protocol with intensity corresponding to 75% of maximum heart rate for 40 minutes. The intensity of the session was monitored continuously, at each 30”, using the perceived exertion scale for both protocols. To ensure euhydration status, all individuals ingested 500 ml of water 120 minutes before the training session. Results: Significant differences (p= 0.01) were found in body mass after HIIT compared to the Moderate session in both Active (HIIT: -0.60 ± 0.29 kg, Moderate: -0.26 ± 0.12 kg) and Inactive (HIIT: -0.92 ± 0.30 kg, Moderate: -0.26 ± 0.26 kg) groups, however, no differences were found between groups. Absolute sweating rate values comparing moderate and HIIT single bout in Inactive (Moderate: 10.55 ± 10.59 ml/min; HIIT: 28.90 ± 13.88 ml/min) and Active (Moderate: 9.60 ± 4.52 ml/min; HIIT: 26.00 ± 15.06 ml/min) groups were different between types of exercise, but not between groups. Conclusions: The sweating rate is influenced by the intensity of the exercise, being higher after HIIT than after a moderate exercise session. However, the sweating rate variation is not affected by the subjects’ physical activity level. Level of Evidence II; Diagnostic studies-Investigating a diagnostic test.
DOI: 10.6084/m9.figshare.6692702.v1
title: 2b-RAD sequencing of Corylus speceis

description: <b>High-throughput Sequencing of 45 <i>Corylus</i> samples to develop genome-wide SNPs.</b>
DOI: 10.6084/m9.figshare.6692204
title: LENS sp-ICP-MS Data 2014

description: The dataset contains supplementary information to a PLOS One article entitled, "Spatial and temporal trends in the fate of silver nanoparticles in a whole-lake addition study". These data are the raw data of environmental data collected and raw counts from sp-icp-ms output used in PLS regressions and other statistical analysis.
DOI: 10.6084/m9.figshare.6692204.v1
title: LENS sp-ICP-MS Data 2014

description: The dataset contains supplementary information to a PLOS One article entitled, "Spatial and temporal trends in the fate of silver nanoparticles in a whole-lake addition study". These data are the raw data of environmental data collected and raw counts from sp-icp-ms output used in PLS regressions and other statistical analysis.
DOI: 10.6084/m9.figshare.6690803
title: Theoretical ribosomal protein mass fingerprint of Shewanella baltica

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Shewanella baltica</i>.<br><br>
DOI: 10.6084/m9.figshare.6690803.v1
title: Theoretical ribosomal protein mass fingerprint of Shewanella baltica

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Shewanella baltica</i>.<br><br>
DOI: 10.6084/m9.figshare.6690692
title: Theoretical ribosomal protein mass fingerprint of Shewanella algae

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Shewanella algae</i>.
DOI: 10.6084/m9.figshare.6690692.v1
title: Theoretical ribosomal protein mass fingerprint of Shewanella algae

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Shewanella algae</i>.
DOI: 10.6084/m9.figshare.6690530
title: Theoretical ribosomal protein mass fingerprint of Serratia proteamaculans

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Serratia proteamaculans</i>.<br><br>
DOI: 10.6084/m9.figshare.6690530.v1
title: Theoretical ribosomal protein mass fingerprint of Serratia proteamaculans

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Serratia proteamaculans</i>.<br><br>
DOI: 10.6084/m9.figshare.6689660
title: radial AI data

description: radial artery AI
DOI: 10.6084/m9.figshare.6689333
title: 18s reads zip files

description: This is the sequencing data used for the paper Nieves-Ramírez, M., Partida-Rodríguez, O., Laforest-Lapointe, I., Reynolds, L., Brown, E., Valdez-Salazar, A., Morán Silva, P., Morien, E., Wegener-Parfrey, L., Minglian, J., Walter, J., Arrieta, M.C., Ximénez-García, C. & Finlay, B.B. Asymptomatic Intestinal Colonization with Protozoan Blastocystis sp. is Strongly Associated with Distinct Microbiome Ecological Patterns. mSystems, (In press).
DOI: 10.6084/m9.figshare.6689333.v1
title: 18s reads zip files

description: This is the sequencing data used for the paper Nieves-Ramírez, M., Partida-Rodríguez, O., Laforest-Lapointe, I., Reynolds, L., Brown, E., Valdez-Salazar, A., Morán Silva, P., Morien, E., Wegener-Parfrey, L., Minglian, J., Walter, J., Arrieta, M.C., Ximénez-García, C. & Finlay, B.B. Asymptomatic Intestinal Colonization with Protozoan Blastocystis sp. is Strongly Associated with Distinct Microbiome Ecological Patterns. mSystems, (In press).
DOI: 10.6084/m9.figshare.6687104
title: Data Base.xlsx

description: Data on acute kidney injury after cardiac surgery
DOI: 10.6084/m9.figshare.6687104.v1
title: Data Base.xlsx

description: Data on acute kidney injury after cardiac surgery
DOI: 10.6084/m9.figshare.6687089
title: Supplementary material for cicada tRNA sequencing

description: S1 - Trinotate annotation of cicada metatranscriptomeS2 - Transcript expression levels in cicada bacteriomes (b) and other tissues (o)<br>S3 - Annotated transcripts that are expressed higher in bacteriome tissue than other tissues<br>
DOI: 10.6084/m9.figshare.6687089.v1
title: Supplementary material for cicada tRNA sequencing

description: S1 - Trinotate annotation of cicada metatranscriptomeS2 - Transcript expression levels in cicada bacteriomes (b) and other tissues (o)<br>S3 - Annotated transcripts that are expressed higher in bacteriome tissue than other tissues<br>
DOI: 10.6084/m9.figshare.6687086
title: Appendix 4-figure 6: Preliminary maximum likelihood phylogeny of luciferase homologs

description: From our reference genesets, a protein BLAST search detected 24, 20, 32, and 2 luciferase homologs (E-value &lt; 1x10-60) to P. pyralis luciferase (PpyrLuc1; Genbank accession AAA29795) from the P. pyralis, A. lateralis, I. luminosus genesets, and Drosophila melanogaster respectively. We defined the luciferase co-orthology as followings; (1) shows an BLASTP E-value lower than 1.0x10-60 towards DmelPACS (CG6178), (2) phylogenetically sister to DmelPACS, which is the most similar gene to firefly luciferase in D. melanogaster, based on a preliminary maximum likelihood (ML) phylogenetic reconstruction (Appendix 4-figure 6). Preliminary ML phylogenetic reconstruction was performed as follows: The sequences of luciferase homologs from Mengenilla moldrzyki, Pediculus humanus, Limnephilus lunatus, Ladona fulva, Frankliniella occidentalis, Zootermopsis nevadensis, Onthophagus taurus, Anoplophora glabripennis, Agrilus planipennis, Harpegnathos saltator, Blattella germanica, Acyrthosiphon pisum, Tribolium castaneum, Bombyx mori, Anopheles gambiae, Apis mellifera, Leptinotarsa decemlineata, and Dendroctonus ponderosae were obtained from OrthoDB (https://www.orthodb.org)[45]. The sequences which show 99% similarity were filtered by CD-HIT (v4.7)[272]. The resulting sequences and beetle luciferases were aligned using (MAFFT v7.309)[254] using the BLOSUM62 matrix and filtered for spurious sequences and poorly aligned regions using trimAl (v.1.2rev59)[273] (parameters: -strict). The final alignment was 385 blocks and 264 sequences. Then, the best fit amino acid substitution model, LG+F Gamma, was estimated by Aminosan (v1.0.2016.11.07)[274] using the Akaike Information Criterion. Finally, a maximum likelihood gene phylogeny was estimated using RAxML (v8.2.9; 100 bootstrap replicates)[275]. Supporting files such as multiple sequence alignment, gene accession numbers, and other annotations are available on FigShare (DOI: 10.6084/m9.figshare.6687086).<br>
DOI: 10.6084/m9.figshare.6686852
title: Deletion of TLS polymerases promotes homologous recombination in <i>Arabidopsis</i>

description: Unrepaired DNA damage hinders the maintenance of genome integrity because it blocks the catalytic activity of replicase. The stalled replication fork can be processed through either translesion synthesis (TLS) with specific polymerases, or replication using the undamaged template. To investigate how TLS activities are regulated and how the stalled replication fork is processed in plants, reversion frequencies and homologous recombination (HR) frequencies were analyzed using GUS-based substrates. The HR frequencies in plants deficient in DNA polymerase ζ (Pol ζ) or Rev1 were higher than that in wildtype plants under normal conditions, and were significantly increased by ultraviolet light irradiation. Heat shock protein (HSP) 90 is known to be involved in various stress responses. To examine the role of HSP90 in the regulation of damage tolerance, we analyzed reversion frequencies and HR frequencies in plants grown in the presence of a HSP inhibitor, geldanamycin (GDA). Reversion frequency was lower in GDA-treated plants than in mock-treated plants. Though the HR frequency was higher in GDA-treated wildtype plants than in mock-treated plants, no significant difference was detected in Rev1-deficient plants. In yeast, TLS polymerases interacted with each other or with a replication clump component, proliferating cell nuclear antigen (PCNA). HSP90 interacted with REV1 or REV7 in <i>Nicotiana benthamiana</i> cells. These results suggest that HSP90 interacts with TLS polymerase(s), which promotes error-prone TLS in plants.
DOI: 10.6084/m9.figshare.6686852.v1
title: Deletion of TLS polymerases promotes homologous recombination in <i>Arabidopsis</i>

description: Unrepaired DNA damage hinders the maintenance of genome integrity because it blocks the catalytic activity of replicase. The stalled replication fork can be processed through either translesion synthesis (TLS) with specific polymerases, or replication using the undamaged template. To investigate how TLS activities are regulated and how the stalled replication fork is processed in plants, reversion frequencies and homologous recombination (HR) frequencies were analyzed using GUS-based substrates. The HR frequencies in plants deficient in DNA polymerase ζ (Pol ζ) or Rev1 were higher than that in wildtype plants under normal conditions, and were significantly increased by ultraviolet light irradiation. Heat shock protein (HSP) 90 is known to be involved in various stress responses. To examine the role of HSP90 in the regulation of damage tolerance, we analyzed reversion frequencies and HR frequencies in plants grown in the presence of a HSP inhibitor, geldanamycin (GDA). Reversion frequency was lower in GDA-treated plants than in mock-treated plants. Though the HR frequency was higher in GDA-treated wildtype plants than in mock-treated plants, no significant difference was detected in Rev1-deficient plants. In yeast, TLS polymerases interacted with each other or with a replication clump component, proliferating cell nuclear antigen (PCNA). HSP90 interacted with REV1 or REV7 in <i>Nicotiana benthamiana</i> cells. These results suggest that HSP90 interacts with TLS polymerase(s), which promotes error-prone TLS in plants.
DOI: 10.6084/m9.figshare.6686849
title: Temporal regulation of two cytosolic phosphoglucomutases during stigma development in ornamental kale (<i>Brassica oleracea</i> var. <i>acephala</i>)

description: Phosphoglucomutases (PGM) (5.4.2.2.) belong to the Phosphohexomutases superfamily and are highly specific in catalyzing the interconversion of Glc-1-P to Glc-6-P. In this study, we characterize the expression and activity of two cytosolic PGMs (cPGM2 and cPGM3) stigmas of ornamental kale during flower development. In stigmas, cPGM expression and activity showed a gradual increase during stigma development with the highest activity around the time of anthesis. Blocking of cPGM activity in the stigmas using a known inhibitor, resulted in breakdown of self-incompatibility in immature S3 and S4 stigmas, but had no effect on the fully mature S5 stigmas. It is likely that cPGMs are required for accumulation of factors necessary for SI response in mature stigmas.
DOI: 10.6084/m9.figshare.6686849.v1
title: Temporal regulation of two cytosolic phosphoglucomutases during stigma development in ornamental kale (<i>Brassica oleracea</i> var. <i>acephala</i>)

description: Phosphoglucomutases (PGM) (5.4.2.2.) belong to the Phosphohexomutases superfamily and are highly specific in catalyzing the interconversion of Glc-1-P to Glc-6-P. In this study, we characterize the expression and activity of two cytosolic PGMs (cPGM2 and cPGM3) stigmas of ornamental kale during flower development. In stigmas, cPGM expression and activity showed a gradual increase during stigma development with the highest activity around the time of anthesis. Blocking of cPGM activity in the stigmas using a known inhibitor, resulted in breakdown of self-incompatibility in immature S3 and S4 stigmas, but had no effect on the fully mature S5 stigmas. It is likely that cPGMs are required for accumulation of factors necessary for SI response in mature stigmas.
DOI: 10.6084/m9.figshare.6686834
title: AUXIN RESPONSE FACTOR3 plays distinct role during early flower development

description: AUXIN RESPONSE FACTOR3 (ARF3), one of the auxin response factors family of transcription factors, is well characterized by its functions in polarity identification and organ patterning. We recently demonstrated that ARF3 plays important roles in floral meristem (FM) maintenance and termination by regulating cytokinin biosynthesis and signaling. However, the relationship of its multiple roles in differently developmental stage is still unclear. Here, we present data that ARF3 plays distinct roles during early flower development that are different from its roles in organ polarity determination and pattering. Thus, our findings shed light on the functional diversity of one specific transcription factor in plant development.
DOI: 10.6084/m9.figshare.6686834.v1
title: AUXIN RESPONSE FACTOR3 plays distinct role during early flower development

description: AUXIN RESPONSE FACTOR3 (ARF3), one of the auxin response factors family of transcription factors, is well characterized by its functions in polarity identification and organ patterning. We recently demonstrated that ARF3 plays important roles in floral meristem (FM) maintenance and termination by regulating cytokinin biosynthesis and signaling. However, the relationship of its multiple roles in differently developmental stage is still unclear. Here, we present data that ARF3 plays distinct roles during early flower development that are different from its roles in organ polarity determination and pattering. Thus, our findings shed light on the functional diversity of one specific transcription factor in plant development.
DOI: 10.15468/6kwcza
title: A catalogue of the family Figitidae (Hymenoptera: Cynipoidea) of Eritrea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Madl, Michael (2018): A catalogue of the family Figitidae (Hymenoptera: Cynipoidea) of Eritrea. Linzer biologische Beiträge 50 (1): 671-673, DOI: http://doi.org/10.5281/zenodo.4004352
DOI: 10.5517/ccdc.csd.cc25fd01
title: CCDC 2008862: Experimental Crystal Structure Determination

description: Related Article: Haidong Li, Romain Duwald, Simon Pascal, Silvia Voci, Céline Besnard, Johann Bosson, Laurent Bouffier, Jérôme Lacour, Neso Sojic|2020|Chem.Commun.|56|9771|doi:10.1039/D0CC04156D
DOI: 10.5517/ccdc.csd.cc25fg36
title: CCDC 2008927: Experimental Crystal Structure Determination

description: Related Article: Hadi Hachem, HengBo Cui, Takao Tsumuraya, Reizo Kato, Olivier Jeannin, Marc Fourmigué, Dominique Lorcy|2020|J.Mater.Chem.C|8|11581|doi:10.1039/D0TC02868A
DOI: 10.5517/ccdc.csd.cc25fhz3
title: CCDC 2008985: Experimental Crystal Structure Determination

description: Related Article: Natalia Muñoz-Patiño, Brenda N. Sánchez-Eguía, Daniela Araiza-Olivera, Marcos Flores-Alamo, Simón Hernández-Ortega, Diego Martínez-Otero, Ivan Castillo|2020|J.Inorg.Biochem.|211|111198|doi:10.1016/j.jinorgbio.2020.111198
DOI: 10.5517/ccdc.csd.cc25fj05
title: CCDC 2008986: Experimental Crystal Structure Determination

description: Related Article: Natalia Muñoz-Patiño, Brenda N. Sánchez-Eguía, Daniela Araiza-Olivera, Marcos Flores-Alamo, Simón Hernández-Ortega, Diego Martínez-Otero, Ivan Castillo|2020|J.Inorg.Biochem.|211|111198|doi:10.1016/j.jinorgbio.2020.111198
DOI: 10.5517/ccdc.csd.cc25hyf2
title: CCDC 2011324: Experimental Crystal Structure Determination

description: Related Article: Ya-Jing Zou, Li-Na Wu, Ming-Xing Li, Zhao-Xi Wang|2020|Inorg.Chem.Commun.|119|108138|doi:10.1016/j.inoche.2020.108138
DOI: 10.5517/ccdc.csd.cc25fns2
title: CCDC 2009134: Experimental Crystal Structure Determination

description: Related Article: Natalia Muñoz-Patiño, Brenda N. Sánchez-Eguía, Daniela Araiza-Olivera, Marcos Flores-Alamo, Simón Hernández-Ortega, Diego Martínez-Otero, Ivan Castillo|2020|J.Inorg.Biochem.|211|111198|doi:10.1016/j.jinorgbio.2020.111198
DOI: 10.6084/m9.figshare.6684080
title: Data file S1 from Improving reproducibility by using high-throughput observational studies with empirical calibration

description: All hazard ratios produced by our experiment
DOI: 10.6084/m9.figshare.6684080.v1
title: Data file S1 from Improving reproducibility by using high-throughput observational studies with empirical calibration

description: All hazard ratios produced by our experiment
DOI: 10.6084/m9.figshare.6684077
title: Data file S2 from Improving reproducibility by using high-throughput observational studies with empirical calibration

description: All effect sizes extracted from observational research literature
DOI: 10.6084/m9.figshare.6684077.v1
title: Data file S2 from Improving reproducibility by using high-throughput observational studies with empirical calibration

description: All effect sizes extracted from observational research literature
DOI: 10.5281/zenodo.4007077
title: Task Bench Results

description: This is the dataset artifact for "Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance", published in SC'20. This archive contains the raw data. The scripts for parsing and rendering this data are in the software artifact for the paper. See: https://doi.org/10.5281/zenodo.4007074 Note that more recent data may be available from the original Github repository: https://github.com/StanfordLegion/task-bench-results
DOI: 10.5281/zenodo.4007076
title: Task Bench Results

description: This is the dataset artifact for "Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance", published in SC'20. This archive contains the raw data. The scripts for parsing and rendering this data are in the software artifact for the paper. See: https://doi.org/10.5281/zenodo.4007074 Note that more recent data may be available from the original Github repository: https://github.com/StanfordLegion/task-bench-results