cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5883/bold:acd9809
title: Overview of Barcode Index Number - BOLD:ACD9809

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9810
title: Overview of Barcode Index Number - BOLD:ACD9810

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.21233/deyw-j518
title: ABD237 pollen surface sample dataset

description: Raw data for the ABD237 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9811
title: Overview of Barcode Index Number - BOLD:ACD9811

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9812
title: Overview of Barcode Index Number - BOLD:ACD9812

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9814
title: Overview of Barcode Index Number - BOLD:ACD9814

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9815
title: Overview of Barcode Index Number - BOLD:ACD9815

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9816
title: Overview of Barcode Index Number - BOLD:ACD9816

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9829
title: Overview of Barcode Index Number - BOLD:ACD9829

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.21233/jpyc-8e34
title: ABD238 pollen surface sample dataset

description: Raw data for the ABD238 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9833
title: Overview of Barcode Index Number - BOLD:ACD9833

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9834
title: Overview of Barcode Index Number - BOLD:ACD9834

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9835
title: Overview of Barcode Index Number - BOLD:ACD9835

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9836
title: Overview of Barcode Index Number - BOLD:ACD9836

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9838
title: Overview of Barcode Index Number - BOLD:ACD9838

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9840
title: Overview of Barcode Index Number - BOLD:ACD9840

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.21233/xv7t-0123
title: ABD239 pollen surface sample dataset

description: Raw data for the ABD239 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9843
title: Overview of Barcode Index Number - BOLD:ACD9843

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9844
title: Overview of Barcode Index Number - BOLD:ACD9844

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9846
title: Overview of Barcode Index Number - BOLD:ACD9846

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9848
title: Overview of Barcode Index Number - BOLD:ACD9848

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9851
title: Overview of Barcode Index Number - BOLD:ACD9851

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9859
title: Overview of Barcode Index Number - BOLD:ACD9859

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9862
title: Overview of Barcode Index Number - BOLD:ACD9862

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.xppkcp
title: Occurrence Download

description: A dataset containing 850085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-09-02",
 "EventDate is less than or equal to 2024-10-02",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 850085 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009066-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:acd9863
title: Overview of Barcode Index Number - BOLD:ACD9863

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9864
title: Overview of Barcode Index Number - BOLD:ACD9864

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9867
title: Overview of Barcode Index Number - BOLD:ACD9867

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9880
title: Overview of Barcode Index Number - BOLD:ACD9880

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.21233/xa0p-x049
title: ABD240 pollen surface sample dataset

description: Raw data for the ABD240 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9881
title: Overview of Barcode Index Number - BOLD:ACD9881

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9882
title: Overview of Barcode Index Number - BOLD:ACD9882

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.26121909
title: Screening of a High Ethanol-Producing <i>Saccharomyces cerevisiae</i> Strain and Its Effects on the Dynamics of the Microbial Community and Flavor During Baijiu Solid-State Fermentation

description: <i>Saccharomyces cerevisiae</i> can metabolize sugars to produce ethanol and secondary metabolites that contribute to the complex flavor profile of Baijiu, a traditional Chinese distilled beverage. The yeasts that contribute to Baijiu fermentation are mostly adventitious strains that show low ethanol production and stress resistance, which results in lower Baijiu yields and quality. Here, we screened <i>S. cerevisiae</i> strains for ethanol production and stress resistance. The best selected strain, SW4, produced a final ethanol titer of 148.1 g/L, which was 113.8% higher than the initial 69.6 g/L. Additionally, the solid-state fermentation of Baijiu with the addition of <i>S. cerevisiae</i> SW4 (QH) resulted in a significant increase in the relative abundance of <i>Pediococcus</i> and <i>Saccharomyces</i> at days 0–14 compared to the control (KB), which may be the main reason for the alteration of Baijiu flavor. Analysis of flavor compounds revealed that QH increased the concentration of alcohols by 44.82% relative to KB after 7 days of fermentation, as well as increasing the concentration of alcohols and esters by 13.06% and 7.11% after 28 days of fermentation. Measurement of 15 differential flavor compounds revealed that 8 were positively correlated with <i>Saccharomyces</i> (<i>p</i> ≤ 0.05), all of which are important flavor compounds contributing to the quality to Baijiu. The Baijiu yield of QH was 25.18%, which was 11.47% higher than that of KB. Overall, this study confirms the positive effects of exogenously added <i>S. cerevisiae</i> on the microbial community structure and flavor of Baijiu at different stages of solid-state fermentation, providing novel opportunities for improving the yield and quality of this important traditional beverage.
DOI: 10.6084/m9.figshare.26121909.v1
title: Screening of a High Ethanol-Producing <i>Saccharomyces cerevisiae</i> Strain and Its Effects on the Dynamics of the Microbial Community and Flavor During Baijiu Solid-State Fermentation

description: <i>Saccharomyces cerevisiae</i> can metabolize sugars to produce ethanol and secondary metabolites that contribute to the complex flavor profile of Baijiu, a traditional Chinese distilled beverage. The yeasts that contribute to Baijiu fermentation are mostly adventitious strains that show low ethanol production and stress resistance, which results in lower Baijiu yields and quality. Here, we screened <i>S. cerevisiae</i> strains for ethanol production and stress resistance. The best selected strain, SW4, produced a final ethanol titer of 148.1 g/L, which was 113.8% higher than the initial 69.6 g/L. Additionally, the solid-state fermentation of Baijiu with the addition of <i>S. cerevisiae</i> SW4 (QH) resulted in a significant increase in the relative abundance of <i>Pediococcus</i> and <i>Saccharomyces</i> at days 0–14 compared to the control (KB), which may be the main reason for the alteration of Baijiu flavor. Analysis of flavor compounds revealed that QH increased the concentration of alcohols by 44.82% relative to KB after 7 days of fermentation, as well as increasing the concentration of alcohols and esters by 13.06% and 7.11% after 28 days of fermentation. Measurement of 15 differential flavor compounds revealed that 8 were positively correlated with <i>Saccharomyces</i> (<i>p</i> ≤ 0.05), all of which are important flavor compounds contributing to the quality to Baijiu. The Baijiu yield of QH was 25.18%, which was 11.47% higher than that of KB. Overall, this study confirms the positive effects of exogenously added <i>S. cerevisiae</i> on the microbial community structure and flavor of Baijiu at different stages of solid-state fermentation, providing novel opportunities for improving the yield and quality of this important traditional beverage.
DOI: 10.6084/m9.figshare.27280921.v1
title: Rapid Detection of Protein and Starch Content in Brewing Wheat Using Hyperspectral Imaging Technology Combined with a Convolutional Neural Network Regression Model

description: Wheat is the main raw material in liquor brewing. However, the protein content (PC) and starch content (SC) in wheat will affect the quality and flavor of the final liquor. In this study, the rapid, non-destructive determination of the PC and SC in wheat was achieved by combining hyperspectral imaging (HSI) with a convolutional neural network regression (CNNR) model established using the original spectral data in the hyperspectral images. The best preprocessing method was first determined, and then the performance of CNNR, extreme gradient boosting (XGBoost) and partial least squares regression (PLSR) models were compared at full wavelength, and it was concluded that CNNR based on the original spectrum was the optimal model for predicting wheat PC (R-square (R<sup>2</sup>) = 0.9942, root mean square error (RMSE) = 0.1041, relative percentage difference (RPD) = 13.1306) and SC (R<sup>2</sup> = 0.9329, RMSE = 0.8633, RPD = 3.8605) at full wavelength. Finally, to further explore the feature extraction capability of the CNN model, different feature selection and extraction methods are used to build the PLSR model, and the comparison revealed that the PLSR model built by feature extraction using convolutional neural network (CNN_F) performed best in predicting wheat PC and SC. These results showed that HSI combined with a CNNR model could enable the rapid and accurate analysis of the PC and SC in wheat, since the CNNR can extract features from samples better than the traditional machine learning models.
DOI: 10.5883/bold:acd9883
title: Overview of Barcode Index Number - BOLD:ACD9883

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.27280921
title: Rapid Detection of Protein and Starch Content in Brewing Wheat Using Hyperspectral Imaging Technology Combined with a Convolutional Neural Network Regression Model

description: Wheat is the main raw material in liquor brewing. However, the protein content (PC) and starch content (SC) in wheat will affect the quality and flavor of the final liquor. In this study, the rapid, non-destructive determination of the PC and SC in wheat was achieved by combining hyperspectral imaging (HSI) with a convolutional neural network regression (CNNR) model established using the original spectral data in the hyperspectral images. The best preprocessing method was first determined, and then the performance of CNNR, extreme gradient boosting (XGBoost) and partial least squares regression (PLSR) models were compared at full wavelength, and it was concluded that CNNR based on the original spectrum was the optimal model for predicting wheat PC (R-square (R<sup>2</sup>) = 0.9942, root mean square error (RMSE) = 0.1041, relative percentage difference (RPD) = 13.1306) and SC (R<sup>2</sup> = 0.9329, RMSE = 0.8633, RPD = 3.8605) at full wavelength. Finally, to further explore the feature extraction capability of the CNN model, different feature selection and extraction methods are used to build the PLSR model, and the comparison revealed that the PLSR model built by feature extraction using convolutional neural network (CNN_F) performed best in predicting wheat PC and SC. These results showed that HSI combined with a CNNR model could enable the rapid and accurate analysis of the PC and SC in wheat, since the CNNR can extract features from samples better than the traditional machine learning models.
DOI: 10.5883/bold:acd9884
title: Overview of Barcode Index Number - BOLD:ACD9884

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.26253844
title: Identification of the Yeast Mannoprotein Gene <i>HZY1</i> as a Key Genetic Determinant for Yeast-Derived Haze in Beer

description: With the sustained popularity of hazy IPAs, brewers have explored multiple approaches to maximizing stable haze that will remain in suspension throughout the shelf life of the beer. Our recent investigations into yeast-dependent haze have uncovered specific brewing yeast strains that promote the formation of haze in heavily dry-hopped beer styles. These brewing strains have been termed “haze-positive” and furthermore, the timing of dry hop additions has been found to be another key factor in producing this stable haze. Classical genetics have identified YIL169C (herein referred to as <i>HZY1</i>) as both necessary and sufficient for the haze-positive phenotype in the yeast strain most widely used for Hazy IPAs. <i>HZY1</i> encodes a candidate glycoprotein and our recent findings suggest it is localized to the cell wall through a GPI anchor. Surprisingly, using long-read sequencing data we uncovered extensive genetic variation in <i>HZY1</i> across brewing strains. The haze-positive phenotype correlates with an expansion in the N-terminal serine-rich region. We propose that the Hzy1 glycoprotein is a critical component to yeast-dependent colloidal haze and the genetic variation in this locus contributes the range of haze phenotypes observed across industrial brewing strains.
DOI: 10.21233/bze1-0782
title: ABD241 pollen surface sample dataset

description: Raw data for the ABD241 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9894
title: Overview of Barcode Index Number - BOLD:ACD9894

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9895
title: Overview of Barcode Index Number - BOLD:ACD9895

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9896
title: Overview of Barcode Index Number - BOLD:ACD9896

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.14004199
title: Deep Geothermal Production Volume Flux Zones Bavaria

description: The dataset provides production volume flux values for zones in the Upper Jurassic deep geothermal reservoir of the Bavarian Molasse Basin regarding different probabilitities. The Data is cross-checked with the available data of the existing hydrothermal plants of the Molasse Basin and therefore considered as valid information but have uncertainties in areas with less drilling information. Further explanation in Zosseder, K., Pfrang, D., Schölderle, F., Bohnsack, D., Konrad, F. (2022): Characterisation of the upper Jurassic geothermal reservoir in the South German Molasse Basin as basis for a potential assessment to foster the geothermal installation development – Results from the joint research project Geothermal Alliance Bavaria. Geomechanics and Tunnelling 15, No. 1, pp. 17–24. https://doi.org/10.1002/geot.202100087. The data is derived in the framework of the Geothermal Alliance of Bavaria (GAB).
DOI: 10.5281/zenodo.14004200
title: Deep Geothermal Production Volume Flux Zones Bavaria

description: The dataset provides production volume flux values for zones in the Upper Jurassic deep geothermal reservoir of the Bavarian Molasse Basin regarding different probabilitities. The Data is cross-checked with the available data of the existing hydrothermal plants of the Molasse Basin and therefore considered as valid information but have uncertainties in areas with less drilling information. Further explanation in Zosseder, K., Pfrang, D., Schölderle, F., Bohnsack, D., Konrad, F. (2022): Characterisation of the upper Jurassic geothermal reservoir in the South German Molasse Basin as basis for a potential assessment to foster the geothermal installation development – Results from the joint research project Geothermal Alliance Bavaria. Geomechanics and Tunnelling 15, No. 1, pp. 17–24. https://doi.org/10.1002/geot.202100087. The data is derived in the framework of the Geothermal Alliance of Bavaria (GAB).
DOI: 10.5883/bold:acd9898
title: Overview of Barcode Index Number - BOLD:ACD9898

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9899
title: Overview of Barcode Index Number - BOLD:ACD9899

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9901
title: Overview of Barcode Index Number - BOLD:ACD9901

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.21233/2rdc-bm36
title: ABD242 pollen surface sample dataset

description: Raw data for the ABD242 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9902
title: Overview of Barcode Index Number - BOLD:ACD9902

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9907
title: Overview of Barcode Index Number - BOLD:ACD9907

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9914
title: Overview of Barcode Index Number - BOLD:ACD9914

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9916
title: Overview of Barcode Index Number - BOLD:ACD9916

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9917
title: Overview of Barcode Index Number - BOLD:ACD9917

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9918
title: Overview of Barcode Index Number - BOLD:ACD9918

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.21233/8z0e-j442
title: ABD243 pollen surface sample dataset

description: Raw data for the ABD243 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5883/bold:acd9919
title: Overview of Barcode Index Number - BOLD:ACD9919

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9921
title: Overview of Barcode Index Number - BOLD:ACD9921

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acd9923
title: Barcode Index Number BOLD:ACD9923

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.