cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9722723
title: Electro Textures Dataset

description: This texture dataset is intended for training, testing and validation of a convolutional neural network used in the task of building cloud and snow cover masks using data received from a multi-zone scanning device used for hydrometeorological support (MSU-GS) and installed on the Russian satellite Electro-L No.2.All data is stored in an «HDF5» format file. The data is divided into three groups: «train», «test» and «val», respectively, for training, testing and validating the neural network. Each group contains a set of classes, these are «Surface», «Snow» and «Cloud». Each class consists of a set of texture blocks and has the dimension NxTxTxM. Where N is the number of samples of texture blocks for a given class and group, TxT is the spatial resolution of one texture from a block in pixels (in our case 11x11), M is the number of textures in a block (in our case 5: these are 3 textures with reflectance data of channels 0.6, 0.7 and 0.9 μm; 2 textures with temperature brightness data of channel 3.8 and 10.7 μm of the MSU-GS instrument).
DOI: 10.6084/m9.figshare.9722651
title: PseudoVCFs_wGenes.zip

description: These files contain part of the dataset used for "Estimating growth patterns and driver effects in tumor evolution from individual samples" by Salichos et al. This dataset has been modified to contains fake genomic coordinates
DOI: 10.6084/m9.figshare.9722723.v1
title: Electro Textures Dataset vol.1

description: This texture dataset is intended for training, testing and validation of a convolutional neural network used in the task of building cloud and snow cover masks using data received from a multi-zone scanning device used for hydrometeorological support (MSU-GS) and installed on the Russian satellite Electro-L No.2.All data is stored in an «HDF5» format file. The data is divided into three groups: «train», «test» and «val», respectively, for training, testing and validating the neural network. Each group contains a set of classes, these are «Gound», «Water», «Snow» and «Cloud». Each class consists of a set of texture blocks and has the dimension NxTxTxM. Where N is the number of samples of texture blocks for a given class and group, TxT is the spatial resolution of one texture from a block in pixels (in our case 11x11), M is the number of textures in a block (in our case 6: these are 3 textures with reflectance data of channels 0.6, 0.7 and 0.9 μm; 2 textures with temperature brightness data of channel 3.8 and 10.7 μm of the MSU-GS instrument; the values of the solar zenith angle for each pixel).
DOI: 10.6084/m9.figshare.9722651.v1
title: PseudoVCFs_wGenes.zip

description: These files contain part of the dataset used for "Estimating growth patterns and driver effects in tumor evolution from individual samples" by Salichos et al. This dataset has been modified to contains fake genomic coordinates
DOI: 10.6084/m9.figshare.9722723.v2
title: Electro Textures Dataset vol.1

description: This texture dataset is intended for training, testing and validation of a convolutional neural network used in the task of building cloud and snow cover masks using data received from a multi-zone scanning device used for hydrometeorological support (MSU-GS) and installed on the Russian satellite Electro-L No.2.All data is stored in an «HDF5» format file. The data is divided into three groups: «train», «test» and «val», respectively, for training, testing and validating the neural network. Each group contains a set of classes, these are «Gound», «Water», «Snow» and «Cloud». Each class consists of a set of texture blocks and has the dimension NxTxTxM. Where N is the number of samples of texture blocks for a given class and group, TxT is the spatial resolution of one texture from a block in pixels (in our case 11x11), M is the number of textures in a block (in our case 6: these are 3 textures with reflectance data of channels 0.6, 0.7 and 0.9 μm; 2 textures with temperature brightness data of channel 3.8 and 10.7 μm of the MSU-GS instrument; the values of the solar zenith angle for each pixel).
DOI: 10.6084/m9.figshare.9722210
title: DSF dataset

description: It is built by GeneX, Inc.
DOI: 10.6084/m9.figshare.9722195
title: Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection

description: Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection
DOI: 10.6084/m9.figshare.9722195.v2
title: Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection

description: Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection
DOI: 10.6084/m9.figshare.9722159
title: Text-mined dataset of inorganic materials synthesis recipes

description: Auto-generated open-source dataset of 19,744 chemical reactions retrieved from 53,538 solid-state synthesis paragraphs. The data are collected using an automated extraction pipeline which converts unstructured scientific paragraphs describing inorganic materials synthesis into so-called "codified recipe" of synthesis. The pipeline utilizes a variety of text mining and NLP approaches to find information about target materials, starting compounds, synthesis steps and conditions in the text, and to process them into chemical equation. Submitted Data Descriptor in Scientific Data: SDATA-19-00539
DOI: 10.6084/m9.figshare.9722159.v1
title: solid-state_dataset_2019-06-27_upd.json

description: Auto-generated open-source dataset of 19,744 chemical reactions retrieved from 53,538 solid-state synthesis paragraphs. The data are collected using an automated extraction pipeline which converts unstructured scientific paragraphs describing inorganic materials synthesis into so-called "codified recipe" of synthesis. The pipeline utilizes a variety of text mining and NLP approaches to find information about target materials, starting compounds, synthesis steps and conditions in the text, and to process them into chemical equation. Submitted Data Descriptor in Scientific Data: SDATA-19-00539
DOI: 10.6084/m9.figshare.9722099
title: Approved Molecules - COD:2125

description: In silico analysis data of 2-aminothiophenic compounds against HIV-1 protease, integrase and reverse transcriptase enzymes
DOI: 10.6084/m9.figshare.9722099.v1
title: Approved Molecules - COD:2125

description: In silico analysis data of 2-aminothiophenic compounds against HIV-1 protease, integrase and reverse transcriptase enzymes
DOI: 10.6084/m9.figshare.9717473
title: Clinical Metacohort (anthra vs non anthra)

description: Breast Cancer Expression cohort
DOI: 10.6084/m9.figshare.9722159.v2
title: Text-mined dataset of inorganic materials synthesis recipes

description: Auto-generated open-source dataset of 19,744 chemical reactions retrieved from 53,538 solid-state synthesis paragraphs. The data are collected using an automated extraction pipeline which converts unstructured scientific paragraphs describing inorganic materials synthesis into so-called "codified recipe" of synthesis. The pipeline utilizes a variety of text mining and NLP approaches to find information about target materials, starting compounds, synthesis steps and conditions in the text, and to process them into chemical equation. Submitted Data Descriptor in Scientific Data: SDATA-19-00539
DOI: 10.6084/m9.figshare.9715697
title: Postjuvenile and active moult data

description: Data used for statistical analyses<br>
DOI: 10.6084/m9.figshare.9715697.v1
title: Postjuvenile and active moult data

description: Data used for statistical analyses<br>
DOI: 10.6084/m9.figshare.9714056
title: O'Neal et al. mBio

description: Supplemental dataset 1 and dataset 2 for O'Neal et al., 2019, Distinct Chemotaxis Protein Paralogs Assemble into Chemoreceptor Signaling Arrays To Coordinate Signaling Output
DOI: 10.6084/m9.figshare.9714056.v1
title: O'Neal et al. mBio

description: Supplemental dataset 1 and dataset 2 for O'Neal et al., 2019, Distinct Chemotaxis Protein Paralogs Assemble into Chemoreceptor Signaling Arrays To Coordinate Signaling Output
DOI: 10.6084/m9.figshare.9713927
title: Supplementary_Table_1.docx

description: Differentially expressed circulating miRNAs after 12wk resistance exercise
DOI: 10.6084/m9.figshare.9713978
title: South African amphibian species list

description: A checklist for amphibian species in South Africa
DOI: 10.6084/m9.figshare.9713669
title: Test

description: test
DOI: 10.6084/m9.figshare.9713927.v2
title: Supplementary_Table_1.docx

description: Differentially expressed circulating miRNAs after 12wk resistance exercise
DOI: 10.6084/m9.figshare.9713927.v1
title: Supplementary_Table_1.docx

description: Differentially expressed circulating miRNAs after 12wk resistance exercise
DOI: 10.6084/m9.figshare.9713978.v1
title: South African amphibian species list

description: A checklist for amphibian species in South Africa
DOI: 10.6084/m9.figshare.9713669.v1
title: S01_Opalina_DN10927

description: Ancient Adaptive Lateral Gene Transfers in the Symbiotic Opalina - Blastocystis Stramenopile Lineage
DOI: 10.6084/m9.figshare.9713669.v2
title: Ancient Adaptive Lateral Gene Transfers in the Symbiotic Opalina - Blastocystis Stramenopile Lineage

description: Full alignments, trimmed alignment and trees for the all phylogenetic analyses used in "Ancient Adaptive Lateral Gene Transfers in the Symbiotic Opalina - Blastocystis Stramenopile Lineage"
DOI: 10.6084/m9.figshare.9713669.v4
title: Test

description: test
DOI: 10.6084/m9.figshare.9713669.v3
title: Test

description: test
DOI: 10.6084/m9.figshare.9712454
title: Supplementary Material for: Sputum Microbiome Dynamics in Chronic Obstructive Pulmonary Disease Patients during an Exacerbation Event and Post-Stabilization

description: <b><i>Background:</i></b> Chronic obstructive pulmonary disease (COPD) affects up to 65 million people worldwide, and COPD exacerbation causes tissue damage and subsequent loss of lung function. It is a multifactorial event in which respiratory infections are involved, but little is known about its dynamics. <b><i>Objectives:</i></b> The objective of our study was to determine the microbiome composition during an exacerbation event and post-stabilization. <b><i>Methods:</i></b> We conducted an observational analytical study of a cohort of 55 COPD patients in which 2 sputum samples (the first taken during an exacerbation event and the second during clinical post-stabilization) were submitted to 16s RNA ribosomal analysis by Illumina Miseq Next Generation Sequencing (NGS). The presence of respiratory viruses was also determined. <b><i>Results:</i></b> Our study found a stable microbiome composition in the post-stabilization sputum samples of COPD patients, and 4 additional microbiomes in samples taken during the exacerbation, 3 of which showed a marked dysbiosis by Haemophilus, Pseudomonas, and Serratia. The fourth exacerbation microbiome had a very similar composition to post-stabilization samples, but some pathogens such as Moraxella and respiratory viruses were also found. <b><i>Conclusions:</i></b> Our study reveals the main protagonists involved in lung microbiome dynamics during an exacerbation event and post-stabilization in COPD patients by NGS analysis.
DOI: 10.6084/m9.figshare.9712004
title: Supplementary Material for: Psychosocial and Cultural Determinants of Interest and Uptake of Skin Cancer Genetic Testing in Diverse Primary Care

description: <b><i>Background:</i></b> Translational research in genomics has limited reach and requires efforts to broaden access and utility in diverse populations. Skin cancer is common and rates are rising, including among Hispanics. Germline variants in the melanocortin-1 receptor (<i>MC1R</i>) gene are common in the population and confer moderate risk for melanoma and basal cell cancers across skin types. Feedback about <i>MC1R</i> risk status may promote skin cancer risk awareness and risk reduction. <b><i>Aims:</i></b> We examined the level of interest in pursuing <i>MC1R</i> testing, and patterns of interest across skin cancer perceived threat and control attitudes, cultural beliefs (family influence on health, health system distrust, cancer fatalism, skin cancer misconceptions), and health literacy. <b><i>Methods:</i></b> We used a study website to inform primary care patients in Albuquerque, NM about the benefits and drawbacks of <i>MC1R</i> testing. Website logon, request of a saliva test kit, and return of the test kit (yes vs. no) were primary assessments of study interest and uptake. <b><i>Results:</i></b> Of 499 participants provided with a test offer, 33% requested and returned the test. Lower family influence on participants’ health was an important factor both overall and within ethnicity subgroups, and may indicate that primary care patients interested in skin cancer genetic testing see themselves as proactive health seekers, independent from family encouragement. Lower self-efficacy for skin cancer prevention was also an important characteristic of those who tested. <b><i>Conclusion:</i></b> As evidence for common genetic markers for skin cancer accumulates, these findings suggest characteristics of those most likely to pursue genetic testing for skin cancer risk.
DOI: 10.6084/m9.figshare.9712454.v1
title: Supplementary Material for: Sputum Microbiome Dynamics in Chronic Obstructive Pulmonary Disease Patients during an Exacerbation Event and Post-Stabilization

description: <b><i>Background:</i></b> Chronic obstructive pulmonary disease (COPD) affects up to 65 million people worldwide, and COPD exacerbation causes tissue damage and subsequent loss of lung function. It is a multifactorial event in which respiratory infections are involved, but little is known about its dynamics. <b><i>Objectives:</i></b> The objective of our study was to determine the microbiome composition during an exacerbation event and post-stabilization. <b><i>Methods:</i></b> We conducted an observational analytical study of a cohort of 55 COPD patients in which 2 sputum samples (the first taken during an exacerbation event and the second during clinical post-stabilization) were submitted to 16s RNA ribosomal analysis by Illumina Miseq Next Generation Sequencing (NGS). The presence of respiratory viruses was also determined. <b><i>Results:</i></b> Our study found a stable microbiome composition in the post-stabilization sputum samples of COPD patients, and 4 additional microbiomes in samples taken during the exacerbation, 3 of which showed a marked dysbiosis by Haemophilus, Pseudomonas, and Serratia. The fourth exacerbation microbiome had a very similar composition to post-stabilization samples, but some pathogens such as Moraxella and respiratory viruses were also found. <b><i>Conclusions:</i></b> Our study reveals the main protagonists involved in lung microbiome dynamics during an exacerbation event and post-stabilization in COPD patients by NGS analysis.
DOI: 10.6084/m9.figshare.9712004.v1
title: Supplementary Material for: Psychosocial and Cultural Determinants of Interest and Uptake of Skin Cancer Genetic Testing in Diverse Primary Care

description: <b><i>Background:</i></b> Translational research in genomics has limited reach and requires efforts to broaden access and utility in diverse populations. Skin cancer is common and rates are rising, including among Hispanics. Germline variants in the melanocortin-1 receptor (<i>MC1R</i>) gene are common in the population and confer moderate risk for melanoma and basal cell cancers across skin types. Feedback about <i>MC1R</i> risk status may promote skin cancer risk awareness and risk reduction. <b><i>Aims:</i></b> We examined the level of interest in pursuing <i>MC1R</i> testing, and patterns of interest across skin cancer perceived threat and control attitudes, cultural beliefs (family influence on health, health system distrust, cancer fatalism, skin cancer misconceptions), and health literacy. <b><i>Methods:</i></b> We used a study website to inform primary care patients in Albuquerque, NM about the benefits and drawbacks of <i>MC1R</i> testing. Website logon, request of a saliva test kit, and return of the test kit (yes vs. no) were primary assessments of study interest and uptake. <b><i>Results:</i></b> Of 499 participants provided with a test offer, 33% requested and returned the test. Lower family influence on participants’ health was an important factor both overall and within ethnicity subgroups, and may indicate that primary care patients interested in skin cancer genetic testing see themselves as proactive health seekers, independent from family encouragement. Lower self-efficacy for skin cancer prevention was also an important characteristic of those who tested. <b><i>Conclusion:</i></b> As evidence for common genetic markers for skin cancer accumulates, these findings suggest characteristics of those most likely to pursue genetic testing for skin cancer risk.
DOI: 10.6084/m9.figshare.9711500
title: Supplementary Material for: Early Predictors for INtubation-SURfactant-Extubation Failure in Preterm Infants with Neonatal Respiratory Distress Syndrome: A Systematic Review

description: The INtubation-SURfactant-Extubation (INSURE) procedure is a widely-used surfactant administration method to treat preterm infants with respiratory distress syndrome (RDS) but is not always successful. We conducted a systematic review to identify early predictive factors for failure of this procedure. A systematic literature search was performed until July 2018 in MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials. Original studies comparing INSURE success with INSURE failure in preterm infants with RDS were included. A predefined data extraction form was used to retrieve data from articles, and methodological quality was assessed using the SIGN checklists. Fifteen studies out of 690 identified records met inclusion criteria. Methodological quality varied, only 8 studies performed multivariate analysis. We identified 20 different risk factors in total. Evidence for birth weight (BW) as a predictor for INSURE failure was inconsistent, but there was a significant association between decreasing gestational age (GA) and failure risk. RDS severity was assessed in multiple ways, using arterial blood gas values, imaging, and scoring systems. In conclusion, extremely low BW, low GA, and severe RDS appear to be risk factors for INSURE failure. However, evidence is inconsistent due to important methodological heterogeneity. Therefore, clinical applicability of these results is limited and implies the need for future large cohort studies on this subject.
DOI: 10.6084/m9.figshare.9711164
title: Metadata record for: A public data set of spatio-temporal match events in soccer competitions

description: This dataset contains key characteristics about the data described in the Data Descriptor A public data set of spatio-temporal match events in soccer competitions. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9710783
title: Table 4. Reactome pathway analysis of up-regulated proteins.

description: <b>Reactome pathway analysis of up-regulated proteins.</b> Reactome Knowledgebase version 68
DOI: 10.6084/m9.figshare.9710738
title: Table 3. Gene Ontology (GO) analysis of proteins showing a consistent increase in expression with FLG knockdown.

description: <b>Gene Ontology (GO) analysis of proteins showing a consistent increase in expression with <i>FLG </i>knockdown.</b> The 10 most significant GO analysis terms in each of the GO domains are listed.
DOI: 10.6084/m9.figshare.9711164.v1
title: Metadata record for: A public data set of spatio-temporal match events in soccer competitions

description: This dataset contains key characteristics about the data described in the Data Descriptor A public data set of spatio-temporal match events in soccer competitions. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.9710585
title: Table 1. Gene Ontology (GO) analysis of proteins showing a consistent reduction in expression with FLG knockdown.

description: <b>Gene Ontology (GO) analysis of proteins showing a consistent reduction in expression with <i>FLG </i>knockdown.</b> The 10 most significant GO analysis terms in each of the GO domains are listed.
DOI: 10.6084/m9.figshare.9710666
title: Table 2. Reactome pathway analysis of down-regulated proteins.

description: <b>Reactome pathway analysis of down-regulated proteins.</b> Reactome Knowledgebase version 68
DOI: 10.6084/m9.figshare.9710738.v1
title: Table 3. Gene Ontology (GO) analysis of proteins showing a consistent increase in expression with FLG knockdown.

description: <b>Gene Ontology (GO) analysis of proteins showing a consistent increase in expression with <i>FLG </i>knockdown.</b> The 10 most significant GO analysis terms in each of the GO domains are listed.
DOI: 10.6084/m9.figshare.9708773
title: ZIKV-infected monocytes invade CNS

description: Source data file for all the Figures included in the manuscript.
DOI: 10.6084/m9.figshare.9708773.v1
title: ZIKV-infected monocytes invade CNS

description: Source data file for all the Figures included in the manuscript.
DOI: 10.6084/m9.figshare.9706601
title: Supplementary Material for: Tumor Necrosis Factor Receptor-Associated Factor 5 Promotes Arterial Neointima Formation through Smooth Muscle Cell Proliferation

description: Tumor necrosis factor (TNF) receptor-associated factors (TRAFs) are cytoplasmic adaptor proteins of the TNF/interleukin (IL)-1/Toll-like receptor superfamily. Ligands of this family such as TNFα, CD40L, and IL-1β promote chronic inflammatory processes such as atherosclerosis and restenosis, the latter being a common adverse reaction after vascular interventions. We previously reported overexpression of TRAF5 in murine and human atheromata and TRAF5-dependent proinflammatory functions in vitro. However, the role of TRAF5 in restenosis remains unsettled. To evaluate whether TRAF5 affects neointima formation, TRAF5<sup>–/–</sup>LDLR<sup>–/–</sup> and TRAF5<sup>+/+</sup>LDLR<sup>–/–</sup> mice consuming a high cholesterol diet (HCD) received wire-induced injury of the carotid artery. After 28 days, TRAF5-deficient mice showed a 45% decrease in neointimal area formation compared with TRAF5-compentent mice. Furthermore, neointimal vascular smooth muscle cells (vSMC) and macrophages decreased whereas collagen increased in TRAF5-deficient mice. Mechanistically, the latter expressed lower transcript levels of the matrix metalloproteinases 2 and 9, both instrumental in extracellular matrix degradation and vSMC mobilization. Additionally, TRAF5-specific siRNA interference rendered murine vSMC less proliferative upon CD40L stimulation. In accordance with these findings, fewer vSMC isolated from TRAF5-deficient aortas were in a proliferative state as assessed by Ki67 and cyclin B1 expression. In conclusion, TRAF5 deficiency mitigates neointima formation in mice, likely through a TRAF5-dependent decrease in vSMC proliferation.
DOI: 10.6084/m9.figshare.9706187
title: Palatability Raw Dataset

description: palatability_data.csv: Contains hand-feeding and free-flight palatability data for tiger moth species examined in the associated article. TRUE = moth was completely accepted and/or captured and not dropped by bat predators. FALSE = moth was completely rejected and/or dropped by bat predators. Data for Bertholdia trigona come from Corcoran and Conner, 2012 (10.1242/jeb.076943)<br>control_palatability_data.csv: Contains hand-feeding palatability data for control Noctuidae species examined in the associated article. TRUE = moth was completely accepted by bat predators. FALSE = moth was completely rejected by bat predators.<br>