cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14676330
title: US Lingerie Market 2025 To 2034

description: US Lingerie Market Size, Trends and Insights By Product Type (Briefs, Bras, Shapewear, Others), By Material (Cotton, Lace, Silk, Satin, Microfiber, Polyester, Others), By Distribution Channel (Online, Offline), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the current market research conducted by the CMI Team, the US Lingerie Market is expected to record a CAGR of 4.1% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 14,801.6 Million. By 2033, the valuation is anticipated to reach USD 21,250.3 Million.

The pie chart provides the market share for 2024 for the top five regions. The top position is dominated by W HEMI, with 67.92%. USMCA takes up the second place at 62.37%. The last two positions are occupied by OECD and Mexico at 39.48% and 38.87%, respectively.

Canada had taken 23.50%. It is the smallest one but a notable one among all. Such trends indicate that prospects for the US Lingerie Market will explode in the W HEMI and USMCA markets. These markets have shown strong consumer demand, and their retailers are fragmented into highly competitive market environments. The interference of economic conditions and continuously changing fashion trends highlight two significant markets contributing to the lingerie market.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60343
DOI: 10.5281/zenodo.14676331
title: US Lingerie Market 2025 To 2034

description: US Lingerie Market Size, Trends and Insights By Product Type (Briefs, Bras, Shapewear, Others), By Material (Cotton, Lace, Silk, Satin, Microfiber, Polyester, Others), By Distribution Channel (Online, Offline), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the current market research conducted by the CMI Team, the US Lingerie Market is expected to record a CAGR of 4.1% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 14,801.6 Million. By 2033, the valuation is anticipated to reach USD 21,250.3 Million.

The pie chart provides the market share for 2024 for the top five regions. The top position is dominated by W HEMI, with 67.92%. USMCA takes up the second place at 62.37%. The last two positions are occupied by OECD and Mexico at 39.48% and 38.87%, respectively.

Canada had taken 23.50%. It is the smallest one but a notable one among all. Such trends indicate that prospects for the US Lingerie Market will explode in the W HEMI and USMCA markets. These markets have shown strong consumer demand, and their retailers are fragmented into highly competitive market environments. The interference of economic conditions and continuously changing fashion trends highlight two significant markets contributing to the lingerie market.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60343
DOI: 10.6084/m9.figshare.28087925.v1
title: Supplementary Information and Files for Tucker et al., (2024), a study on SAR11 metabolic and ecological diversification

description: This folder contains Supplementary Information for Tucker et al., (2024), a study entitled "Habitat-specificity in SAR11 is associated with a handful of genes under high selection". <br>
DOI: 10.6084/m9.figshare.28225520
title: <b>Comparison of allele frequencies: Individuals versus Pooled datasets</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.6084/m9.figshare.28225511
title: <b>Nei'</b><b>s genetic distances calculation from ind-seq and pool-seq data</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.6084/m9.figshare.28225973.v1
title: Supplementary Material for: Association of pregnancy diet with metabolic adverse outcomes in pregnant women and their children: A Systematic Review and Meta-Analysis

description: Introductions: The diet during pregnancy has long-term effects on the health outcomes of both mothers and their children. Study aimed to undertake a systematic review to explore the association of high-fiber diet, DASH diet, and Mediterranean diet with metabolic outcomes among mothers and their children.
Methods: We searched for relevant articles published from Jan 2012 to Nov 2022 through PubMed, MEDLINE and Embase. Randomized trials and observational studies that considered high-fibre diet, DASH diet, Mediterranean diet during pregnancy and metabolic outcomes in pregnant women and their children were included in the systematic review. Thirty studies were included involving 41,424 pregnant women and children.
Results: A high-fibre diet was associated with reduced risk of gestational diabetes mellitus (GDM) (OR: 0.22; 95%CI: 0.11-0.42), pregnancy hypertensive disorders (OR: 0.45; 95% CI: 0.25-0.81) and lower birth weight (-109.54g; 95%CI: -204.84 to -14.24). The adherences to Mediterranean diet and DASH diet were associated with reduced risk of GDM (OR: 0.60; 95%CI: 0.45-0.80; OR: 0.36; 95%CI: 0.26-0.51), and lower risk of excessive gestational weight gain (OR: 0.41; 95%CI: 0.18-0.93; OR: 0.3, 95%CI: 0.16-0.57). Adherence to Mediterranean diet was associated with a lower risk of small for gestational age, fetal growth restriction and childhood overweight in the progeny (OR: 0.83, 95%CI: 0.73-0.95; OR: 0.50; 95%CI: 0.28-0.89; OR: 0.85; 95%CI: 0.74-0.97). 
Conclusions: During pregnancy, high-fibre diet and adherences to Mediterranean diet and DASH diet were associated with lower risk of adverse metabolic outcomes in pregnant women and their children.
DOI: 10.6084/m9.figshare.28225493
title: <b>SNP calling score from individual and pooled sequencing data</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.15468/dl.jvjp9p
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CAN.9_1",
 "Month is January",
 "OccurrenceStatus is Present",
 "TaxonKey is Apodiformes",
 "Year 2015-2025"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073464-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.974179
title: Seawater carbonate chemistry and blue mussel fertilization to early juvenile development under ocean acidification for 5 populations from Long Island Sound

description: This dataset contains laboratory experimental data of blue mussels (Mytilus edulis) exposed to three different levels of carbon dioxide (low, mid, and high) from 4 hours post fertilization to day 45. Blue mussels were collected from 4 different populations located in Long Island Sound. The experiment took place from April 20, 2017 to June 4, 2017 at the NOAA NEFSC in Milford CT, with seawater pumped from Milford Harbor to the laboratory (41° 12′ 42.46″ N, 73° 3′ 7.75″ W). Carbonate chemistry and survival of blue mussels from the larval stage to the juvenile stage were assessed. This effort was made possible through the project R/XG-25 under the award NA14OAR4170069 from the National Sea Grant College Program of the US Department of Commerce's National Oceanic and Atmospheric Administration .This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from NOAA National Centers for Environmental Information (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-12-13.
DOI: 10.6084/m9.figshare.28225559
title: <b>SNP</b><b> </b><b>calling</b><b> </b><b>counts</b><b> </b><b>from pooled sequencing data.</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.15468/dl.gqjdc7
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater Gastropods of Taveuni"
 ]
}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073465-241126133413365/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.28225550
title: <b>SNP calling</b><b> </b><b>counts</b><b> </b><b>from individual and pool sequencing data.</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.5281/zenodo.14676369
title: US Sustainable Footwear Market 2024 To 2033

description: US Sustainable Footwear Market Size, Trends and Insights By Product Type (Athletic Footwear, Non-Athletic Footwear, Luxury Footwear, Others), By Material Type (Recycled Materials, Recycled Plastics, Recycled Rubber, Recycled Fabrics, Organic Materials, Organic Cotton, Organic Wool, Organic Hemp, Eco-friendly Synthetics, Bio-based Plastics, Plant-based Materials, Others), By End User (Men, Women, Children), By Distribution Channel (Online Retail, E-commerce Websites, Brand Websites, Offline Retail, Specialty Stores, Supermarkets and Hypermarkets, Department Stores, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Sustainable Footwear Market is expected to record a CAGR of 5.3% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 2,272.6 Million. By 2033, the valuation is anticipated to reach USD 3,617.2 Million.

The US sustainable footwear market is planned to manufacture and sell items that are in harmony with nature, coming from eco-friendly materials, like recycled plastics, organic cotton, and plant-based alternatives. Market leaders like Allbirds, Patagonia, and Adidas have introduced innovation through the kinds of products that act as the basis for beginning to drive a market like this.

Increasing awareness of environmental impact, governmental measures, and business social responsibility also fuels this market. Some of the trends in the market include transparency, healthy products, and a well-structured e-commerce strategy.

Despite the disturbance occasioned by COVID-19, it appears that the market is resurfacing in the diversification of the supply chain and with industry support, following on the heels of material developments and production practices. The industry seeks to meet the increasing demand for environmentally friendly and responsible footwear.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60388
DOI: 10.5281/zenodo.14676370
title: US Sustainable Footwear Market 2024 To 2033

description: US Sustainable Footwear Market Size, Trends and Insights By Product Type (Athletic Footwear, Non-Athletic Footwear, Luxury Footwear, Others), By Material Type (Recycled Materials, Recycled Plastics, Recycled Rubber, Recycled Fabrics, Organic Materials, Organic Cotton, Organic Wool, Organic Hemp, Eco-friendly Synthetics, Bio-based Plastics, Plant-based Materials, Others), By End User (Men, Women, Children), By Distribution Channel (Online Retail, E-commerce Websites, Brand Websites, Offline Retail, Specialty Stores, Supermarkets and Hypermarkets, Department Stores, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Sustainable Footwear Market is expected to record a CAGR of 5.3% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 2,272.6 Million. By 2033, the valuation is anticipated to reach USD 3,617.2 Million.

The US sustainable footwear market is planned to manufacture and sell items that are in harmony with nature, coming from eco-friendly materials, like recycled plastics, organic cotton, and plant-based alternatives. Market leaders like Allbirds, Patagonia, and Adidas have introduced innovation through the kinds of products that act as the basis for beginning to drive a market like this.

Increasing awareness of environmental impact, governmental measures, and business social responsibility also fuels this market. Some of the trends in the market include transparency, healthy products, and a well-structured e-commerce strategy.

Despite the disturbance occasioned by COVID-19, it appears that the market is resurfacing in the diversification of the supply chain and with industry support, following on the heels of material developments and production practices. The industry seeks to meet the increasing demand for environmentally friendly and responsible footwear.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60388
DOI: 10.5281/zenodo.13901456
title: IOCAS Western Pacific Moored Current Meter Observation Dataset

description: This dataset contains current meter measurements from ICOAS mooring array in the Western Pacific. The current meters were deployed on moorings at 130°E meridian on 8.5°N, 11°N, 12.5°N, 15°N. The temporal resolution is monthly for 8.5°N mooring and annually for others.