cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/7ag5-6311
title: Soil surface salinity DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: Soil surface salinity is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). Soil salinity represents the salt content of the soil. This raster data represents a modelled dataset of salinity at the soil surface and is derived from field measured and laboratory analysed site data, and environmental covariates. Data values are: 1 Surface salinity absent, 2 Surface salinity present. Soil surface salinity is a parameter used in land suitability assessments as it hinders seed establishment and retards plant growth. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.17632/8vx3cs9m5j.1
title: Early initiation of breastfeeding in Anglophone and Francophone West African countries: Systematic review and meta-analysis of associated factors

description: Supplementary data for EIBF factors

Objectives: Despite the benefits of early initiation of breastfeeding (EIBF) as a preventive medicine, the practice is suboptimal in West Africa, and there is limited systematic review evidence on the associated factors. This study aimed to aggregate the evidence on factors associated with EIBF in Anglophone and Francophone West African countries.
Study design: Systematic review and meta-analysis
Methods: Six databases were searched for published studies that reported factors associated with EIBF in Anglophone and Francophone West African countries from 1 January 2008 to 31 March 2024. All relevant studies were reviewed, and odds ratios were extracted and meta-analysed. 
Results: The pooled analysis showed that caesarean section delivery in both Anglophone (AOR: 0.74; 95% CI: 0.69, 0.81) and Francophone (AOR: 0.25; 95% CI: 0.21, 0.30) regions, and unskilled birth attendance (AOR: 0.79; 95% CI: 0.75, 0.83), babies perceived to be small at birth (AOR: 0.93; 95% CI: 0.88, 0.98), rural residence (AOR: 0.89; 95% CI: 0.85, 0.94) and mothers who wanted pregnancy now or later (AOR: 0.89; 95% CI: 0.85, 0.92) in Anglophone regions delayed initiation of breastfeeding (DIBF).
Conclusion: Future interventions and policies to improve EIBF should focus on addressing the factors associated with DIBF, with particular emphasis on babies delivered via caesarean section. This is crucial in reducing neonatal mortalities in the region to progress towards attaining Sustainable Development Goals 2 and 3 by 2030.
DOI: 10.25919/z7wv-e220
title: Soil surface structure DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: Soil surface structure is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). This soil surface structure raster data represents a modelled dataset of soil structure for the major part of the A horizons (surface soil) and is derived from field measured site data and environmental covariates. Data values are: 1 Single grain, 2 Massive or weak, 3 Moderate/strong and fine, 4 Moderate/strong and coarse as defined by the National Committee on Soil and Terrain 2009 (NCST) structure descriptions. Soil surface structure is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, erosion, seedling establishment and machinery workability. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.25919/df65-wg79
title: Soil surface texture DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: Soil surface texture is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). Soil texture is determined by the percentage and size distribution of mineral (sand, silt and clay) particles of the soil finer than 2mm, carried out in the field. This soil surface texture raster data represents a modelled dataset of soil texture for the major part of the A horizons (surface soil) and is derived from field measured site data and environmental covariates. The soil texture classes are based on the field texture classes of the National Committee on Soil and Terrain 2009 (NCST) texture descriptions. Data values are: 1 Sandy, 2 Loamy, 3 Silty, 4 Clayey and the texture groupings behind these values are supplied in the word document READ_ME_Texture_Classes. Soil surface texture is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, water holding capacity, permeability, drainage, water and wind erosion, workability (soil adhesiveness), trafficability and soil nutrients levels. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.6084/m9.figshare.c.3846853_d1.v1
title: Additional file 1: Table S1. of CIPHER: a flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction

description: [List of KAP1-7SK snRNP target genes identified by CIPHER] (TXT 489 kb)
DOI: 10.6084/m9.figshare.c.3846823_d4.v1
title: MOESM2 of Immuno-diagnosis of Mycobacterium tuberculosis in sputum, and reduction of timelines for its positive cultures to within 3Â h by pathogen-specific thymidylate kinase expression assays

description: Additional file 2. This file offers details of the expression profile of recombinant TMKmt in E. coli BL21 (DE).
DOI: 10.6084/m9.figshare.c.3846853_d1
title: Additional file 1: Table S1. of CIPHER: a flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction

description: [List of KAP1-7SK snRNP target genes identified by CIPHER] (TXT 489 kb)
DOI: 10.6084/m9.figshare.c.3846823_d4
title: MOESM2 of Immuno-diagnosis of Mycobacterium tuberculosis in sputum, and reduction of timelines for its positive cultures to within 3Â h by pathogen-specific thymidylate kinase expression assays

description: Additional file 2. This file offers details of the expression profile of recombinant TMKmt in E. coli BL21 (DE).
DOI: 10.6084/m9.figshare.c.3849469_d1.v1
title: Additional file 1: Figure S1. of Statin therapy causes gut dysbiosis in mice through a PXR-dependent mechanism

description: Effect of statin therapy and diet on body weight and glucose metabolism. Figure S2. Changes in the gut microbiome composition in response to statins of mice fed with ND. Figure S3. Changes in the gut microbiome composition in response to high fat diet. Figure S4. Statin therapy does not potentiate the diet-induced intestinal dysbiosis. Figure S5. Variation of LBP levels in serum in response to statin therapy and diet. Figure S6. Metagenome prediction based on the community composition of the gut microbiota of wild type mice treated with statins and normal diet. Figure S7. Metagenome prediction based on the community composition of the gut microbiota of wild type mice treated with statins and high fat diet. Figure S8. Metagenome prediction based on the community composition of the gut microbiota of wild type mice treated with statins and high fat diet. Figure S9. Effect of statin therapy and diet on body weight and glucose metabolism in Pxr-/- mice. Figure S10. Effect of statin therapy on the gut microbiota of Pxr-/- mice. Figure S11. Changes in the gut microbial community in response to statins differ based on the activity of PXR. Figure S12. Variation of LBP levels in serum of Pxr-/- mice in response to statin therapy. Figure S13. Metagenome prediction based on the community composition of the gut microbiota of Pxr-/- mice treated with statins. Figure S14. Production of short chain fatty acid by the gut microbiota of Pxr-/- mice treated with statins. Figure S15. PXR modulates the changes in gene expression induced by statins. (ZIP 5 mb)
DOI: 10.6084/m9.figshare.c.3849469_d1
title: Additional file 1: Figure S1. of Statin therapy causes gut dysbiosis in mice through a PXR-dependent mechanism

description: Effect of statin therapy and diet on body weight and glucose metabolism. Figure S2. Changes in the gut microbiome composition in response to statins of mice fed with ND. Figure S3. Changes in the gut microbiome composition in response to high fat diet. Figure S4. Statin therapy does not potentiate the diet-induced intestinal dysbiosis. Figure S5. Variation of LBP levels in serum in response to statin therapy and diet. Figure S6. Metagenome prediction based on the community composition of the gut microbiota of wild type mice treated with statins and normal diet. Figure S7. Metagenome prediction based on the community composition of the gut microbiota of wild type mice treated with statins and high fat diet. Figure S8. Metagenome prediction based on the community composition of the gut microbiota of wild type mice treated with statins and high fat diet. Figure S9. Effect of statin therapy and diet on body weight and glucose metabolism in Pxr-/- mice. Figure S10. Effect of statin therapy on the gut microbiota of Pxr-/- mice. Figure S11. Changes in the gut microbial community in response to statins differ based on the activity of PXR. Figure S12. Variation of LBP levels in serum of Pxr-/- mice in response to statin therapy. Figure S13. Metagenome prediction based on the community composition of the gut microbiota of Pxr-/- mice treated with statins. Figure S14. Production of short chain fatty acid by the gut microbiota of Pxr-/- mice treated with statins. Figure S15. PXR modulates the changes in gene expression induced by statins. (ZIP 5 mb)
DOI: 10.6084/m9.figshare.c.3849466_d2.v1
title: Additional file 11: of Shifts in coastal sediment oxygenation cause pronounced changes in microbial community composition and associated metabolism

description: Data S3. Reference organisms from the UniProtKB/Swiss-Prot database tied to the annotation of chosen ‘RNA transcript-related genes’ (top five hits are shown). (XLSX 114 kb)
DOI: 10.6084/m9.figshare.c.3849466_d2
title: Additional file 11: of Shifts in coastal sediment oxygenation cause pronounced changes in microbial community composition and associated metabolism

description: Data S3. Reference organisms from the UniProtKB/Swiss-Prot database tied to the annotation of chosen ‘RNA transcript-related genes’ (top five hits are shown). (XLSX 114 kb)
DOI: 10.6084/m9.figshare.c.3849466_d12.v1
title: Additional file 9: of Shifts in coastal sediment oxygenation cause pronounced changes in microbial community composition and associated metabolism

description: Data S2. The list shows all results (FPKM), with a following separate list of the significant results, from the UniprotKB/Swiss-Prot database annotation of the de novo metatranscriptomic assemblies (n = 2, for each treatment except oxic control: n = 1), SD = 1. The second sheet shows the results from annotation of functional genes derived from the metagenome. (XLSX 2747 kb)
DOI: 10.6084/m9.figshare.c.3849466_d12
title: Additional file 9: of Shifts in coastal sediment oxygenation cause pronounced changes in microbial community composition and associated metabolism

description: Data S2. The list shows all results (FPKM), with a following separate list of the significant results, from the UniprotKB/Swiss-Prot database annotation of the de novo metatranscriptomic assemblies (n = 2, for each treatment except oxic control: n = 1), SD = 1. The second sheet shows the results from annotation of functional genes derived from the metagenome. (XLSX 2747 kb)
DOI: 10.6084/m9.figshare.c.3849517_d2.v1
title: Additional file 2: Table 1. of The effect of Nullomer-derived peptides 9R, 9S1R and 124R on the NCI-60 panel and normal cell lines

description: Survival index (SI) and response categories of the NCI-60 panel. A: SI of NCI-60 cancer cell lines after 48 h with 50 μM peptides 9R, 9S1R and 124R; B: % of cell lines sensitive and resistant to peptides 9R, 9S1R and 124R; C: Peptides 9R, 9S1R and 124R response categories; D: SI and response categories for normal cell lines treated with 9R, 9S1R and 124R. Sensitive lines experience at least 20% decrease in the number of living cells after 48 h treatment. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.c.3849517_d2
title: Additional file 2: Table 1. of The effect of Nullomer-derived peptides 9R, 9S1R and 124R on the NCI-60 panel and normal cell lines

description: Survival index (SI) and response categories of the NCI-60 panel. A: SI of NCI-60 cancer cell lines after 48 h with 50 μM peptides 9R, 9S1R and 124R; B: % of cell lines sensitive and resistant to peptides 9R, 9S1R and 124R; C: Peptides 9R, 9S1R and 124R response categories; D: SI and response categories for normal cell lines treated with 9R, 9S1R and 124R. Sensitive lines experience at least 20% decrease in the number of living cells after 48 h treatment. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.c.3849517_d3.v1
title: Additional file 3: Table 2. of The effect of Nullomer-derived peptides 9R, 9S1R and 124R on the NCI-60 panel and normal cell lines

description: Spectrum activity of peptides 9R, 9S1R and 124R and current anticancer drugs (reference [9]). Comparison of Nullomer derived peptides (9R and 9S1R) sensitivity with current anticancer drugs approved by the FDA. (XLSX 13Â kb)
DOI: 10.15468/dl.tb96kt
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cephaloscyllium ventriosum (Garman, 1880)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 241 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039288-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3849517_d3
title: Additional file 3: Table 2. of The effect of Nullomer-derived peptides 9R, 9S1R and 124R on the NCI-60 panel and normal cell lines

description: Spectrum activity of peptides 9R, 9S1R and 124R and current anticancer drugs (reference [9]). Comparison of Nullomer derived peptides (9R and 9S1R) sensitivity with current anticancer drugs approved by the FDA. (XLSX 13Â kb)
DOI: 10.15468/dl.hgznfa
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is one of (Rock ptarmigan (Lagopus muta) radio telemetry in Lierne, Norway)"
 ]
}

 The dataset includes 378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039289-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3849541_d2
title: Additional file 2: of Genome-based exploration of the specialized metabolic capacities of the genus Rhodococcus

description: Overview table of all GCFs. (XLSX 24Â kb)
DOI: 10.6084/m9.figshare.c.3849541_d3
title: Additional file 3: of Genome-based exploration of the specialized metabolic capacities of the genus Rhodococcus

description: BGC sequence similarity network. (ZIP 2775Â kb)
DOI: 10.6084/m9.figshare.c.3849541_d4.v1
title: Additional file 4: of Genome-based exploration of the specialized metabolic capacities of the genus Rhodococcus

description: List of software used in this manuscript. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.c.3849541_d4
title: Additional file 4: of Genome-based exploration of the specialized metabolic capacities of the genus Rhodococcus

description: List of software used in this manuscript. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.28053677
title: Data for Probabilistic collapse assessment of base-isolated benchmark building

description: The TCL files and ground motions files used in the analysis in OpenSEES.
DOI: 10.5281/zenodo.14510685
title: Simulated data and associated results from "Characterizing Genetic Intra-Tumor Heterogeneity Across 2,658 Human Cancer Genomes"

description: Latest version of the simulated data used for methods comparison in Dentro et al., along with the results of the methods comparison. This obsoletes the dataset previously published on Mendeley.
DOI: 10.5281/zenodo.14510686
title: Simulated data and associated results from "Characterizing Genetic Intra-Tumor Heterogeneity Across 2,658 Human Cancer Genomes"

description: Latest version of the simulated data used for methods comparison in Dentro et al., along with the results of the methods comparison. This obsoletes the dataset previously published on Mendeley.
DOI: 10.6084/m9.figshare.c.3850756_d7
title: Additional file 16:Table S8. of A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression

description: The number of platform-specific genes detected by aligner. Numbers of platform-specific genes detected in each aligner as a function of the mean gene-level read counts across all samples. Also lists the number of DEGs among the platform-specific genes. (XLSX 11Â kb)
DOI: 10.6084/m9.figshare.c.3850756_d10.v1
title: Additional file 19: Table S9. of A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression

description: Ensembl biotypes of genes detected by both platforms, or exclusively by one platform. For each aligner, lists the number of and percent of detected genes for each ensembl biotype. These numbers are broken down by those genes detected in both platform, only in Illumina data, and only in Ion Torrent. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.c.3850825_d1.v1
title: Additional file 1 of Network design and analysis for multi-enzyme biocatalysis

description: Lists of reactions and metabolites in the presented genome-scale metabolic network. The spreadsheets in the file provide all relevant data of our presented genome-scale metabolic network including all reactions, the subset of reactions present in E. coli, and all metabolite lists as defined in section Network details, as well as all arcs. (ODS 661 kb)
DOI: 10.15468/dl.v2ut3c
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "DatasetKey is Collection Herpetology SMF",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Squamata, Testudines, Amphibia)"
 ]
}

 The dataset includes 422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039290-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3850825_d1
title: Additional file 1 of Network design and analysis for multi-enzyme biocatalysis

description: Lists of reactions and metabolites in the presented genome-scale metabolic network. The spreadsheets in the file provide all relevant data of our presented genome-scale metabolic network including all reactions, the subset of reactions present in E. coli, and all metabolite lists as defined in section Network details, as well as all arcs. (ODS 661 kb)
DOI: 10.6084/m9.figshare.c.3850840_d1.v1
title: Additional file 1: Table S1. of Characterisation of protein families in spider digestive fluids and their role in extra-oral digestion

description: Comparative list of identified proteins in digestive fluids of S. mimosarum and A. geniculata, incl. Accession Number and BLAST-description. (XLSX 23Â kb)
DOI: 10.6084/m9.figshare.c.3850846_d1.v1
title: Additional file 1: Table S1. of Identification of key lncRNAs in colorectal cancer progression based on associated proteinâ  protein interaction analysis

description: Differentially expressed lncRNAs between stage II and stage III CRC identified by microarray analysis. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.c.3850840_d1
title: Additional file 1: Table S1. of Characterisation of protein families in spider digestive fluids and their role in extra-oral digestion

description: Comparative list of identified proteins in digestive fluids of S. mimosarum and A. geniculata, incl. Accession Number and BLAST-description. (XLSX 23Â kb)
DOI: 10.6084/m9.figshare.c.3850846_d1
title: Additional file 1: Table S1. of Identification of key lncRNAs in colorectal cancer progression based on associated proteinâ  protein interaction analysis

description: Differentially expressed lncRNAs between stage II and stage III CRC identified by microarray analysis. (XLSX 12 kb)