cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21628774
title: Additional file 2 of A comparison of the utility of the urine dipstick and urine protein-to-creatinine ratio for predicting microalbuminuria in patients with non-diabetic lifestyle-related diseases -a comparison with diabetes

description: Additional file 2: Supplemental Table 1. A comparison of laboratory data according to the results of the dipstick proteinuria in non-diabetic patients. Supplemental Table 2. Detection of uACR ≥30 mg/gCr by dipstick proteinuria according to G stage in non-diabetic and diabetic patients. Supplemental Table 3. A comparison of the ability to predict microalbuminuria or worse using the dipstick proteinuria, uPCR, and uACR in diabetic patients with G1-4 and all qualitative proteinuria findings. Supplemental Table 4. Prediction of microalbuminuria or worse by a logistic model using three consecutive dipstick proteinuria findings in non-diabetic patients. Supplemental Table 5. Detection of microalbuminuria or worse based on three consecutive dipstick proteinuria findings in non-diabetic patients. Supplemental Table 6. Prediction of microalbuminuria or worse by a logistic model based on three consecutive uPCRs in non-diabetic and diabetic patients. Supplemental Table 7. Prediction of microalbuminuria or worse based on a single second uPCR value according to the G stage and the sum of three urine protein dipstick scores in non-diabetic and diabetic patients. Supplemental Table 8. A comparison of the chracteristics between cases of uACR&lt;30 mg/gCr and ≥30 mg/gCr in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 9. Factors associated with uACR ≥30 mg/gCr in non-diabetic patients with dipstick-negative proteinuria. Supplemental Table 10. Factors associated with uACR ≥30 mg/gCr in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 11. Differentiation of uACR ≥30 mg/gCr and &lt;30 mg/gCr by uPCR, probability of uACR ≥30 mg/gCr based on a logistic model using uPCR and urine creatinine or urine specific gravity according to the G stage in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 12. Associations between urine creatinine or specific gravity and urinary albumin-to-creatinine ratio according to the urine protein-to-creatinine ratio in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 13. Association between changes in the uPCR and in the uACR among non-diabetic and diabetic patients. Supplemental Table 14. The effect of medication on the CO for uPCR for differentiating diabetic patients with uACR ≥30 and &lt;30 mg/gCr.
DOI: 10.6084/m9.figshare.21628774.v1
title: Additional file 2 of A comparison of the utility of the urine dipstick and urine protein-to-creatinine ratio for predicting microalbuminuria in patients with non-diabetic lifestyle-related diseases -a comparison with diabetes

description: Additional file 2: Supplemental Table 1. A comparison of laboratory data according to the results of the dipstick proteinuria in non-diabetic patients. Supplemental Table 2. Detection of uACR ≥30 mg/gCr by dipstick proteinuria according to G stage in non-diabetic and diabetic patients. Supplemental Table 3. A comparison of the ability to predict microalbuminuria or worse using the dipstick proteinuria, uPCR, and uACR in diabetic patients with G1-4 and all qualitative proteinuria findings. Supplemental Table 4. Prediction of microalbuminuria or worse by a logistic model using three consecutive dipstick proteinuria findings in non-diabetic patients. Supplemental Table 5. Detection of microalbuminuria or worse based on three consecutive dipstick proteinuria findings in non-diabetic patients. Supplemental Table 6. Prediction of microalbuminuria or worse by a logistic model based on three consecutive uPCRs in non-diabetic and diabetic patients. Supplemental Table 7. Prediction of microalbuminuria or worse based on a single second uPCR value according to the G stage and the sum of three urine protein dipstick scores in non-diabetic and diabetic patients. Supplemental Table 8. A comparison of the chracteristics between cases of uACR&lt;30 mg/gCr and ≥30 mg/gCr in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 9. Factors associated with uACR ≥30 mg/gCr in non-diabetic patients with dipstick-negative proteinuria. Supplemental Table 10. Factors associated with uACR ≥30 mg/gCr in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 11. Differentiation of uACR ≥30 mg/gCr and &lt;30 mg/gCr by uPCR, probability of uACR ≥30 mg/gCr based on a logistic model using uPCR and urine creatinine or urine specific gravity according to the G stage in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 12. Associations between urine creatinine or specific gravity and urinary albumin-to-creatinine ratio according to the urine protein-to-creatinine ratio in non-diabetic and diabetic patients with dipstick-negative proteinuria. Supplemental Table 13. Association between changes in the uPCR and in the uACR among non-diabetic and diabetic patients. Supplemental Table 14. The effect of medication on the CO for uPCR for differentiating diabetic patients with uACR ≥30 and &lt;30 mg/gCr.
DOI: 10.6084/m9.figshare.21628795
title: Additional file 1 of Applying design thinking for business model innovation

description: Additional file 1. Literature Search Results.
DOI: 10.6084/m9.figshare.21628795.v1
title: Additional file 1 of Applying design thinking for business model innovation

description: Additional file 1. Literature Search Results.
DOI: 10.6084/m9.figshare.21628798
title: Additional file 2 of Applying design thinking for business model innovation

description: Additional file 2. Data Analysis.
DOI: 10.6084/m9.figshare.21628798.v1
title: Additional file 2 of Applying design thinking for business model innovation

description: Additional file 2. Data Analysis.
DOI: 10.6084/m9.figshare.21628857
title: Additional file 2 of Development and initial testing of a multi-stakeholder intervention for Lynch syndrome cascade screening: an intervention mapping approach

description: Additional file 2. Evidence-Based Method Mapping; This file shows the evidence-based method selected to address each change objective and determinant.
DOI: 10.6084/m9.figshare.21628857.v1
title: Additional file 2 of Development and initial testing of a multi-stakeholder intervention for Lynch syndrome cascade screening: an intervention mapping approach

description: Additional file 2. Evidence-Based Method Mapping; This file shows the evidence-based method selected to address each change objective and determinant.
DOI: 10.6084/m9.figshare.21628995
title: Additional file 10 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 9. Table S9A–D. Over-represented KEGG pathway among gene clusters in MaMe21, MaMel63a, HEM, and HDF.
DOI: 10.6084/m9.figshare.21628995.v1
title: Additional file 10 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 9. Table S9A–D. Over-represented KEGG pathway among gene clusters in MaMe21, MaMel63a, HEM, and HDF.
DOI: 10.6084/m9.figshare.21629001
title: Additional file 2 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 1. Table S1. Normalized gene expression in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629001.v1
title: Additional file 2 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 1. Table S1. Normalized gene expression in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629004
title: Additional file 3 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 2. Table S2A–F. Over-expressed genes in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629007.v1
title: Additional file 4 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 3. Table S3A–F. Over-represented biological processes (GO-bp) among over-expressed genes in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629004.v1
title: Additional file 3 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 2. Table S2A–F. Over-expressed genes in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629007
title: Additional file 4 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 3. Table S3A–F. Over-represented biological processes (GO-bp) among over-expressed genes in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629010
title: Additional file 5 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 4. Table S4A, B. Genes up- and down-regulated with increasing resistance in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629010.v1
title: Additional file 5 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 4. Table S4A, B. Genes up- and down-regulated with increasing resistance in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629013
title: Additional file 6 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 5. Table S5A, B. Over-represented biological processes (GO-bp) among genes up- and down-regulated with increasing resistance in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629013.v1
title: Additional file 6 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 5. Table S5A, B. Over-represented biological processes (GO-bp) among genes up- and down-regulated with increasing resistance in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629016
title: Additional file 7 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 6. Table S6A, B. Over-represented hallmark gene sets among genes up- and down-regulated with increasing resistance in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629016.v1
title: Additional file 7 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 6. Table S6A, B. Over-represented hallmark gene sets among genes up- and down-regulated with increasing resistance in MaMel cell lines.
DOI: 10.6084/m9.figshare.21629019
title: Additional file 8 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 7. Table S7A–D. Clustering of most variable genes in MaMe21, MaMel63a, HEM, and HDF.
DOI: 10.6084/m9.figshare.21629019.v1
title: Additional file 8 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 7. Table S7A–D. Clustering of most variable genes in MaMe21, MaMel63a, HEM, and HDF.
DOI: 10.6084/m9.figshare.21629022
title: Additional file 9 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 8. Table S8A–D. Over-represented biological processes (GO-bp) among gene clusters in MaMe21, MaMel63a, HEM, and HDF.
DOI: 10.6084/m9.figshare.21629022.v1
title: Additional file 9 of PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma

description: Additional file 8. Table S8A–D. Over-represented biological processes (GO-bp) among gene clusters in MaMe21, MaMel63a, HEM, and HDF.
DOI: 10.6084/m9.figshare.21629041
title: Additional file 2 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 2: Supplemental Table S1. Impact of adding different concentrations of non-ionic detergents to the SIP gradient medium on percent DNA recovery (n=3).
DOI: 10.6084/m9.figshare.21629041.v1
title: Additional file 2 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 2: Supplemental Table S1. Impact of adding different concentrations of non-ionic detergents to the SIP gradient medium on percent DNA recovery (n=3).
DOI: 10.6084/m9.figshare.21629044
title: Additional file 3 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 3: Supplemental Table S2. Assembly metrics using single fraction assembly (metaspades) verses co-assembly of all fractions (MetaHipMer2).
DOI: 10.6084/m9.figshare.21629044.v1
title: Additional file 3 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 3: Supplemental Table S2. Assembly metrics using single fraction assembly (metaspades) verses co-assembly of all fractions (MetaHipMer2).
DOI: 10.6084/m9.figshare.21629047
title: Additional file 4 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 4: Supplemental Table S3. Assembly statistics, taxonomic lineage, and atom percent excess (APE) of the metagenome amplified genomes (MAGs) created in this study.
DOI: 10.6084/m9.figshare.21629047.v1
title: Additional file 4 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 4: Supplemental Table S3. Assembly statistics, taxonomic lineage, and atom percent excess (APE) of the metagenome amplified genomes (MAGs) created in this study.
DOI: 10.6084/m9.figshare.21629053
title: Additional file 5 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 5: Supplemental Table S4. Number of CAZyme family domains in the highly enriched MAGs (&gt;10 atom% excess 13C). AOA = archaeal ammonia oxidizer, Fibro = Fibrobacterota, Myxo = Myxococcota (Myxococcaceae).
DOI: 10.6084/m9.figshare.21629053.v1
title: Additional file 5 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 5: Supplemental Table S4. Number of CAZyme family domains in the highly enriched MAGs (&gt;10 atom% excess 13C). AOA = archaeal ammonia oxidizer, Fibro = Fibrobacterota, Myxo = Myxococcota (Myxococcaceae).
DOI: 10.6084/m9.figshare.21629056
title: Additional file 6 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 6: Supplemental Table S5. Genomic abundance of MEROPS proteae gene per MAG. Columns indicate MEROPS protease families. APE = atom percent excess.
DOI: 10.6084/m9.figshare.21629056.v1
title: Additional file 6 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 6: Supplemental Table S5. Genomic abundance of MEROPS proteae gene per MAG. Columns indicate MEROPS protease families. APE = atom percent excess.
DOI: 10.6084/m9.figshare.21629059
title: Additional file 7 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 7: Supplemental Table S6. CAZymes for the Myxococcota MAGs. Fen-1088 MAGs are highlighted in yellow. MAGs are sorted by increasing atom percent excess (APE) 13C.
DOI: 10.6084/m9.figshare.21629059.v1
title: Additional file 7 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 7: Supplemental Table S6. CAZymes for the Myxococcota MAGs. Fen-1088 MAGs are highlighted in yellow. MAGs are sorted by increasing atom percent excess (APE) 13C.
DOI: 10.6084/m9.figshare.21629062
title: Additional file 8 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 8: Supplemental Table S7. Number of CAZy gene homologs that can potentially target a particular substrate. Substrate assignments based off of the Glycoside Hydrolase categories from Berlemonte and Martiny 2015.
DOI: 10.6084/m9.figshare.21629062.v1
title: Additional file 8 of HT-SIP: a semi-automated stable isotope probing pipeline identifies cross-kingdom interactions in the hyphosphere of arbuscular mycorrhizal fungi

description: Additional file 8: Supplemental Table S7. Number of CAZy gene homologs that can potentially target a particular substrate. Substrate assignments based off of the Glycoside Hydrolase categories from Berlemonte and Martiny 2015.
DOI: 10.6084/m9.figshare.21629229
title: Additional file 1 of Three-dimensional shape distribution of lunar regolith particles collected by the Apollo and Luna programs

description: Additional file 1. Additional tables.
DOI: 10.6084/m9.figshare.21629229.v1
title: Additional file 1 of Three-dimensional shape distribution of lunar regolith particles collected by the Apollo and Luna programs

description: Additional file 1. Additional tables.
DOI: 10.6084/m9.figshare.21629256
title: Additional file 1 of Associations between 44 nonmetric permanent dental traits or anomalies with skeletal sagittal malocclusions and sex, besides correlations across the variations or abnormalities

description: Additional file 1: Spearman correlation coefficients among the evaluated nonmetric dental traits/anomalies as well as sex and crowding.
DOI: 10.6084/m9.figshare.21629256.v1
title: Additional file 1 of Associations between 44 nonmetric permanent dental traits or anomalies with skeletal sagittal malocclusions and sex, besides correlations across the variations or abnormalities

description: Additional file 1: Spearman correlation coefficients among the evaluated nonmetric dental traits/anomalies as well as sex and crowding.
DOI: 10.6084/m9.figshare.21629374
title: Additional file 3 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 3: Supplementary Table S1. GO-terms enrichment analysis for genes which are male gonads-biased in the bisexual species and gonads-biased in parthenogen’s gonads. Throughout the table sheets the following abbreviations are used: BRO for Bacillus rossius rossius, BAT for Bacillus atticus, BGM for Bacillus grandii maretimi, MF for Molecular Functions and BP for Biological Processes.
DOI: 10.6084/m9.figshare.21629374.v1
title: Additional file 3 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 3: Supplementary Table S1. GO-terms enrichment analysis for genes which are male gonads-biased in the bisexual species and gonads-biased in parthenogen’s gonads. Throughout the table sheets the following abbreviations are used: BRO for Bacillus rossius rossius, BAT for Bacillus atticus, BGM for Bacillus grandii maretimi, MF for Molecular Functions and BP for Biological Processes.
DOI: 10.6084/m9.figshare.21629377
title: Additional file 4 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 4: Supplementary Table S2. GO-terms enrichment analysis for genes which are not gonads-biased in the bisexual species and gonads-biased in parthenogen’s gonads. The abbreviations used are the same as in the other Supplementary tables.
DOI: 10.6084/m9.figshare.21629377.v1
title: Additional file 4 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 4: Supplementary Table S2. GO-terms enrichment analysis for genes which are not gonads-biased in the bisexual species and gonads-biased in parthenogen’s gonads. The abbreviations used are the same as in the other Supplementary tables.
DOI: 10.6084/m9.figshare.21629380
title: Additional file 5 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 5: Supplementary Table S3. GO-terms enrichment analysis for genes which are gonads-biased in the bisexual species and not gonads-biased in parthenogen’s gonads. The abbreviations used are the same as in the other Supplementary tables.
DOI: 10.6084/m9.figshare.21629380.v1
title: Additional file 5 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 5: Supplementary Table S3. GO-terms enrichment analysis for genes which are gonads-biased in the bisexual species and not gonads-biased in parthenogen’s gonads. The abbreviations used are the same as in the other Supplementary tables.
DOI: 10.6084/m9.figshare.21629383
title: Additional file 6 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 6: Supplementary Table S4. GO-terms enrichment analysis for genes which are gonads-biased in bisexual species females and not gonads-biased in parthenogen’s gonads. The abbreviations used are the same as in the other Supplementary tables.
DOI: 10.6084/m9.figshare.21629383.v1
title: Additional file 6 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 6: Supplementary Table S4. GO-terms enrichment analysis for genes which are gonads-biased in bisexual species females and not gonads-biased in parthenogen’s gonads. The abbreviations used are the same as in the other Supplementary tables.
DOI: 10.6084/m9.figshare.21629386
title: Additional file 7 of Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis

description: Additional file 7: Supplementary Table S5. Results of the branch-site analysis using codeml of the candidate genes for parallel sequence modifications. The analysis was carried out separately for each species and using the alignment generated by PSI-Coffee; additional cross-validation was carried out using aBSREL. The abbreviations used are the same as in the other Supplementary tables.