cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10095080
title: Systematic review of machine learning for diagnosis and prognosis in dermatology

description: <b>Background:</b> Software systems using artificial intelligence for medical purposes have been developed in recent years. The success of deep neural networks (DNN) in 2012 in the image recognition challenge ImageNet LSVRC 2010 fueled expectations of the potential for using such systems in dermatology. <b>Objective:</b> To evaluate the ways in which machine learning has been utilized in dermatology to date and provide an overview of the findings in current literature on the subject. <b>Methods:</b> We conducted a systematic review of existing literature, identifying the literature through a systematic search of the PubMed database. Two doctors assessed screening and eligibility with respect to pre-determined inclusion and exclusion criteria. <b>Results:</b> A total of 2175 publications were identified, and 64 publications were included. We identified eight major categories where machine learning tools were tested in dermatology. Most systems involved image recognition tools that were primarily aimed at binary classification of malignant melanoma (MM). Short system descriptions and results of all included systems are presented in tables. <b>Conclusions:</b> We present a complete overview of artificial intelligence implemented in dermatology. Impressive outcomes were reported in all of the identified eight categories, but head-to-head comparison proved difficult. The many areas of dermatology where we identified machine learning tools indicate the diversity of machine learning.
DOI: 10.6084/m9.figshare.10094972.v1
title: Data

description: The objective of this study was to compare the <i>in vitro</i> antibacterial activities of cinnamaldehyde (CIN) and <i>Zataria multiflora</i> essential oil in conventional (ZEO), nanoemulsion (NZEO) and fortified nanoemulsion (NZEOC) forms against common foodborne pathogens.
DOI: 10.6084/m9.figshare.10095086.v1
title: Metabolism and disposition of 2-hydroxy-4-methoxybenzophenone, a sunscreen ingredient, in Harlan Sprague Dawley rats and B6C3F1/N mice; a species and route comparison

description: 2-Hydroxy-4-methoxybenzophenone (HMB) is a common ingredient in personal care products and used as an UV stabilizer. In these studies, disposition and metabolism of [<sup>14</sup>C]HMB in rats and mice was assessed following single gavage administration (10, 100, or 500 mg/kg), single IV administration (10 mg/kg), or dermal application (0.1, 1, 10, or 15 mg/kg).Following gavage administration, [<sup>14</sup>C]HMB was well absorbed and excreted mainly in urine (39–57%) and feces (24–42%) with no apparent difference between doses, species or sexes. Distribution of HMB in tissues was minimal in rats (0.36%) and mice (&lt;0.55%).Distribution of HMB following dermal application was comparable to that following gavage administration; no differences between doses, sexes, or species were observed but absorption varied between dose vehicles. Light paraffin oil had the highest absorption and excretion (98% of the HMB dose absorbed).In rats, HMB slowly appeared in the systemic circulation (<i>T</i><sub>max</sub> ∼2–6 h) and had poor bioavailability (F%&lt;1).Urine metabolites for both species and all routes included HMB, HMB-glucuronide, 2,4-dihydroxybenzophenone (DHB), DHB-glucuronide, and DHB-sulfates, and novel minor dihydroxy metabolites including 2,5-dihydroxy-4-methoxybenzophenone.<i>In vitro</i> hepatic metabolism in mice differed from human and <i>in vivo</i> metabolism especially for phase II conjugates. 2-Hydroxy-4-methoxybenzophenone (HMB) is a common ingredient in personal care products and used as an UV stabilizer. In these studies, disposition and metabolism of [<sup>14</sup>C]HMB in rats and mice was assessed following single gavage administration (10, 100, or 500 mg/kg), single IV administration (10 mg/kg), or dermal application (0.1, 1, 10, or 15 mg/kg). Following gavage administration, [<sup>14</sup>C]HMB was well absorbed and excreted mainly in urine (39–57%) and feces (24–42%) with no apparent difference between doses, species or sexes. Distribution of HMB in tissues was minimal in rats (0.36%) and mice (&lt;0.55%). Distribution of HMB following dermal application was comparable to that following gavage administration; no differences between doses, sexes, or species were observed but absorption varied between dose vehicles. Light paraffin oil had the highest absorption and excretion (98% of the HMB dose absorbed). In rats, HMB slowly appeared in the systemic circulation (<i>T</i><sub>max</sub> ∼2–6 h) and had poor bioavailability (F%&lt;1). Urine metabolites for both species and all routes included HMB, HMB-glucuronide, 2,4-dihydroxybenzophenone (DHB), DHB-glucuronide, and DHB-sulfates, and novel minor dihydroxy metabolites including 2,5-dihydroxy-4-methoxybenzophenone. <i>In vitro</i> hepatic metabolism in mice differed from human and <i>in vivo</i> metabolism especially for phase II conjugates.
DOI: 10.6084/m9.figshare.10095080.v1
title: Systematic review of machine learning for diagnosis and prognosis in dermatology

description: <b>Background:</b> Software systems using artificial intelligence for medical purposes have been developed in recent years. The success of deep neural networks (DNN) in 2012 in the image recognition challenge ImageNet LSVRC 2010 fueled expectations of the potential for using such systems in dermatology. <b>Objective:</b> To evaluate the ways in which machine learning has been utilized in dermatology to date and provide an overview of the findings in current literature on the subject. <b>Methods:</b> We conducted a systematic review of existing literature, identifying the literature through a systematic search of the PubMed database. Two doctors assessed screening and eligibility with respect to pre-determined inclusion and exclusion criteria. <b>Results:</b> A total of 2175 publications were identified, and 64 publications were included. We identified eight major categories where machine learning tools were tested in dermatology. Most systems involved image recognition tools that were primarily aimed at binary classification of malignant melanoma (MM). Short system descriptions and results of all included systems are presented in tables. <b>Conclusions:</b> We present a complete overview of artificial intelligence implemented in dermatology. Impressive outcomes were reported in all of the identified eight categories, but head-to-head comparison proved difficult. The many areas of dermatology where we identified machine learning tools indicate the diversity of machine learning.
DOI: 10.6084/m9.figshare.10094936
title: Yearly Rainfall - For Journal.xls

description: Dataset in Excel version 2016 format
DOI: 10.6084/m9.figshare.10094726
title: MOESM2 of LIM and cysteine-rich domains 1 (LMCD1) regulates skeletal muscle hypertrophy, calcium handling, and force

description: Additional file 2: Table S2. Kinase activities after LMCD1 overexpression in differentiated mouse primary myotubes.
DOI: 10.6084/m9.figshare.10094717
title: MOESM1 of LIM and cysteine-rich domains 1 (LMCD1) regulates skeletal muscle hypertrophy, calcium handling, and force

description: Additional file 1: Table S1. Primers used for detection of gene expression by qRT-PCR.
DOI: 10.6084/m9.figshare.10094714
title: MOESM1 of Matrisome analysis of intrahepatic cholangiocarcinoma unveils a peculiar cancer-associated extracellular matrix structure

description: Additional file 1. Mass spectrometry data reports for iCCA and NCT samples.
DOI: 10.6084/m9.figshare.10094726.v1
title: MOESM2 of LIM and cysteine-rich domains 1 (LMCD1) regulates skeletal muscle hypertrophy, calcium handling, and force

description: Additional file 2: Table S2. Kinase activities after LMCD1 overexpression in differentiated mouse primary myotubes.
DOI: 10.6084/m9.figshare.10094708
title: MOESM5 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 5: Table S4. Enriched Reactome and KEGG pathways for MM vs CM vs NCM and MM vs CM analyses.
DOI: 10.6084/m9.figshare.10094717.v1
title: MOESM1 of LIM and cysteine-rich domains 1 (LMCD1) regulates skeletal muscle hypertrophy, calcium handling, and force

description: Additional file 1: Table S1. Primers used for detection of gene expression by qRT-PCR.
DOI: 10.6084/m9.figshare.10094714.v1
title: MOESM1 of Matrisome analysis of intrahepatic cholangiocarcinoma unveils a peculiar cancer-associated extracellular matrix structure

description: Additional file 1. Mass spectrometry data reports for iCCA and NCT samples.
DOI: 10.6084/m9.figshare.10094708.v1
title: MOESM5 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 5: Table S4. Enriched Reactome and KEGG pathways for MM vs CM vs NCM and MM vs CM analyses.
DOI: 10.6084/m9.figshare.10094693
title: MOESM3 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 3: Table S2. Enriched MSigDB signatures for MM vs CM vs NCM and MM vs CM analyses.
DOI: 10.6084/m9.figshare.10094699
title: MOESM4 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 4: Table S3. Protein-protein interaction (PPI) network nodes: degree and betweenness centrality for MM vs CM vs NCM and MM vs CM analyses.
DOI: 10.6084/m9.figshare.10094699.v1
title: MOESM4 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 4: Table S3. Protein-protein interaction (PPI) network nodes: degree and betweenness centrality for MM vs CM vs NCM and MM vs CM analyses.
DOI: 10.6084/m9.figshare.10094693.v1
title: MOESM3 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 3: Table S2. Enriched MSigDB signatures for MM vs CM vs NCM and MM vs CM analyses.
DOI: 10.6084/m9.figshare.10094678
title: MOESM1 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 1: Table S1. Differentially expressed genes in MM vs CM vs NCM and MM vs CM analyses. Results of the Welch t test, one-way ANOVA analyses, and multi-way ANOVA analyses are shown.
DOI: 10.6084/m9.figshare.10094678.v1
title: MOESM1 of Gene expression profiling in blood from cerebral malaria patients and mild malaria patients living in Senegal

description: Additional file 1: Table S1. Differentially expressed genes in MM vs CM vs NCM and MM vs CM analyses. Results of the Welch t test, one-way ANOVA analyses, and multi-way ANOVA analyses are shown.
DOI: 10.6084/m9.figshare.10094657
title: MOESM3 of Clinical, pathological, and laboratory diagnoses of diseases of harbour porpoises (Phocoena phocoena), live stranded on the Dutch and adjacent coasts from 2003 to 2016

description: Additional file 3. Raw data and graphs of organ weights and sizes in relation to body length.
DOI: 10.6084/m9.figshare.10094657.v1
title: MOESM3 of Clinical, pathological, and laboratory diagnoses of diseases of harbour porpoises (Phocoena phocoena), live stranded on the Dutch and adjacent coasts from 2003 to 2016

description: Additional file 3. Raw data and graphs of organ weights and sizes in relation to body length.
DOI: 10.6084/m9.figshare.10094648
title: MOESM1 of Postoperative chemoradiotherapy is superior to postoperative chemotherapy alone in squamous cell lung cancer patients with limited N2 lymph node metastasis

description: Additional file 1. Associated Data.The file included the data of the treatment of 175 NSCLC patients. The treatment group was divided into 2 subgroups(0 for pCT and 1 for POCRT).The gender, age, ECOG scoring ,tumor position, Vessel invasion, T stage, Operation modality, Pathology, pN stage, Chemotherapy cycles, Total number of MLNs and CTV dose were divided into different subgroups according to the details list in the Table 1. The OS was calculated from the date of diagnosis to the date of death, or the date of the last follow-up. The survival group was divided into 2 subgroups (0 for survival and 1 for death). (XLSX 35 kb)
DOI: 10.6084/m9.figshare.10094648.v1
title: MOESM1 of Postoperative chemoradiotherapy is superior to postoperative chemotherapy alone in squamous cell lung cancer patients with limited N2 lymph node metastasis

description: Additional file 1. Associated Data.The file included the data of the treatment of 175 NSCLC patients. The treatment group was divided into 2 subgroups(0 for pCT and 1 for POCRT).The gender, age, ECOG scoring ,tumor position, Vessel invasion, T stage, Operation modality, Pathology, pN stage, Chemotherapy cycles, Total number of MLNs and CTV dose were divided into different subgroups according to the details list in the Table 1. The OS was calculated from the date of diagnosis to the date of death, or the date of the last follow-up. The survival group was divided into 2 subgroups (0 for survival and 1 for death). (XLSX 35 kb)
DOI: 10.6084/m9.figshare.10094624
title: MOESM4 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 4: Table S4. Code for recorded species of Acanthocotyle as shown in Fig. 7. Host species, family and order plus geographical record and authority are also given.
DOI: 10.6084/m9.figshare.10094612
title: MOESM2 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 2: Table S2. Summary of morphological and morphometric characteristics of the species of Acanthocotyle considered valid.
DOI: 10.6084/m9.figshare.10094618
title: MOESM3 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 3: Table S3. Acanthocotyle atacamensis n. sp. ex Bathyraja peruana McEachran & Miyake, 1984 (Rajiformes: Arhynchobatidae). Raw morphometric and meristic data.
DOI: 10.6084/m9.figshare.10094624.v1
title: MOESM4 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 4: Table S4. Code for recorded species of Acanthocotyle as shown in Fig. 7. Host species, family and order plus geographical record and authority are also given.
DOI: 10.6084/m9.figshare.10094618.v1
title: MOESM3 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 3: Table S3. Acanthocotyle atacamensis n. sp. ex Bathyraja peruana McEachran & Miyake, 1984 (Rajiformes: Arhynchobatidae). Raw morphometric and meristic data.
DOI: 10.6084/m9.figshare.10094612.v1
title: MOESM2 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 2: Table S2. Summary of morphological and morphometric characteristics of the species of Acanthocotyle considered valid.
DOI: 10.6084/m9.figshare.10094603
title: MOESM1 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 1: Table S1. Acanthocotyle imo n. sp. ex Amblyraja frerichsi (Krefft) (Rajiformes: Rajidae). Raw morphometric and meristic data.
DOI: 10.6084/m9.figshare.10094603.v1
title: MOESM1 of Two new species of Acanthocotyle Monticelli, 1888 (Monogenea: Acanthocotylidae), parasites of two deep-sea skates (Elasmobranchii: Rajiformes) in the South-East Pacific

description: Additional file 1: Table S1. Acanthocotyle imo n. sp. ex Amblyraja frerichsi (Krefft) (Rajiformes: Rajidae). Raw morphometric and meristic data.
DOI: 10.34740/kaggle/dsv/1443328
title: Ottoman Turkish Characters
DOI: 10.6084/m9.figshare.10094363
title: MOESM1 of In silico selection of functionally important proteins from the mialome of Ornithodoros erraticus ticks and assessment of their protective efficacy as vaccine targets

description: Additional file 1: Table S1. Transcriptomic data for chitinases, tetraspanins, ribosomal protein P0 and secreted proteins/peptides from the Ornithodoros erraticus midgut.
DOI: 10.6084/m9.figshare.10094363.v1
title: MOESM1 of In silico selection of functionally important proteins from the mialome of Ornithodoros erraticus ticks and assessment of their protective efficacy as vaccine targets

description: Additional file 1: Table S1. Transcriptomic data for chitinases, tetraspanins, ribosomal protein P0 and secreted proteins/peptides from the Ornithodoros erraticus midgut.
DOI: 10.6084/m9.figshare.10094312
title: MOESM3 of Patterns of genetic divergence among populations of Aedes aegypti L. (Diptera: Culicidae) in the southeastern USA

description: Additional file 3: Text S1. Microsatellite data used in analyses in Genpop format. Microsatellite data are from all populations indicated in TableÂ 1. Missing data are indicated with 0000.
DOI: 10.6084/m9.figshare.10094312.v1
title: MOESM3 of Patterns of genetic divergence among populations of Aedes aegypti L. (Diptera: Culicidae) in the southeastern USA

description: Additional file 3: Text S1. Microsatellite data used in analyses in Genpop format. Microsatellite data are from all populations indicated in TableÂ 1. Missing data are indicated with 0000.
DOI: 10.6084/m9.figshare.10094288
title: MOESM9 of Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa

description: Additional file 9. Univariable and multivariable analyses of AGYW characteristics associated with participation in 3+ or 4+ DREAMS core package intervention categories in the last 12â months in Nairobi.
DOI: 10.6084/m9.figshare.10094288.v1
title: MOESM9 of Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa

description: Additional file 9. Univariable and multivariable analyses of AGYW characteristics associated with participation in 3+ or 4+ DREAMS core package intervention categories in the last 12â months in Nairobi.
DOI: 10.6084/m9.figshare.10094252
title: MOESM3 of Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa

description: Additional file 3. Characteristics of men aged 15â 49 and women aged 25â 49â years in Nairobi, uMkhanyakude and Gem general population surveys.
DOI: 10.6084/m9.figshare.10094252.v1
title: MOESM3 of Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa

description: Additional file 3. Characteristics of men aged 15â 49 and women aged 25â 49â years in Nairobi, uMkhanyakude and Gem general population surveys.
DOI: 10.6084/m9.figshare.10094228
title: MOESM10 of Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa

description: Additional file 10. Univariable and multivariable analyses of AGYW characteristics associated with participation in 3+ or 4+ DREAMS core package intervention categories in the last 12â months in uMkhanyakude.
DOI: 10.6084/m9.figshare.10094228.v1
title: MOESM10 of Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa

description: Additional file 10. Univariable and multivariable analyses of AGYW characteristics associated with participation in 3+ or 4+ DREAMS core package intervention categories in the last 12â months in uMkhanyakude.
DOI: 10.6084/m9.figshare.10094141
title: MOESM2 of Diet is not the primary driver of bacterial community structure in the gut of litter-feeding cockroaches

description: Additional file 2: Table S1. Interactive spreadsheet of the relative abundance of genus-level bacterial groups from all samples analysed in this study, based on subsamples of 1643 sequences per sample. The categories on the left allow switching between different taxonomic levels, to explore individual bacterial lineages. Table S2. Analysis of covariance of environmental variables selected for the canonical correspondence analysis (CCA) by permutational multivariate analysis of variance using distance matrices (PERMANOVA, Anderson 2001, implemented in the function adonis of the vegan package in R). Columns indicate (Sums) sums of squares, (F) model strength, (R2) squared correlation coefficient, and (p) probability value with marks for p ≤ 0.001 (***), p ≤ 0.01 (**). Table S3. Relative abundance of core bacterial families in the amplicon libraries of crop, midgut and hindgut of five cockroaches with a lignocellulosic diet. The core status was defined by the consistent presence in the respective compartment in all host species [Ec, Ergaula capucina; Bf, Byrsotria fumigata; Ps, Pycnoscelus surinamensis (litter-feeding, this study); Pa, Panesthia angustipennis; Se, Salganea esakii (wood-feeding, Bauer et al. [27])]. Table S4. Bacterial core taxa across cockroaches and termites from different feeding guilds. This Excel spreadsheet contains the 18 core bacterial families in the lignocellulose-feeding cockroaches. Listed are the relative abundances of the bacterial genera within these families across cockroaches and termites from different feeding guilds. Table S5. Information about the insect species used in this study, their diet, and the origin of the datasets included in the analyses.
DOI: 10.6084/m9.figshare.10094141.v1
title: MOESM2 of Diet is not the primary driver of bacterial community structure in the gut of litter-feeding cockroaches

description: Additional file 2: Table S1. Interactive spreadsheet of the relative abundance of genus-level bacterial groups from all samples analysed in this study, based on subsamples of 1643 sequences per sample. The categories on the left allow switching between different taxonomic levels, to explore individual bacterial lineages. Table S2. Analysis of covariance of environmental variables selected for the canonical correspondence analysis (CCA) by permutational multivariate analysis of variance using distance matrices (PERMANOVA, Anderson 2001, implemented in the function adonis of the vegan package in R). Columns indicate (Sums) sums of squares, (F) model strength, (R2) squared correlation coefficient, and (p) probability value with marks for p ≤ 0.001 (***), p ≤ 0.01 (**). Table S3. Relative abundance of core bacterial families in the amplicon libraries of crop, midgut and hindgut of five cockroaches with a lignocellulosic diet. The core status was defined by the consistent presence in the respective compartment in all host species [Ec, Ergaula capucina; Bf, Byrsotria fumigata; Ps, Pycnoscelus surinamensis (litter-feeding, this study); Pa, Panesthia angustipennis; Se, Salganea esakii (wood-feeding, Bauer et al. [27])]. Table S4. Bacterial core taxa across cockroaches and termites from different feeding guilds. This Excel spreadsheet contains the 18 core bacterial families in the lignocellulose-feeding cockroaches. Listed are the relative abundances of the bacterial genera within these families across cockroaches and termites from different feeding guilds. Table S5. Information about the insect species used in this study, their diet, and the origin of the datasets included in the analyses.