cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25390/caryinstitute.11801052.v5
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.6084/m9.figshare.11800872.v2
title: Insights into gene regulation of the halovirus His2 infecting Haloarcula hispanica - Supplementary Tables

description: <i>Har. hispanica </i>and His2 gene regulation and annotation. His2 virus titer measurement a 4 different time points.
DOI: 10.6084/m9.figshare.11800872.v1
title: Supplementary_Table_S1.xlsx

description: <i>Har. hispanica </i>and His2 gene regulation and annotation. His2 virus titer measurement a 4 different time points.
DOI: 10.25390/caryinstitute.11801052.v6
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.25390/caryinstitute.11801052.v7
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.25390/caryinstitute.11801052.v8
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.25390/caryinstitute.11801052.v9
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.6084/m9.figshare.11800785
title: Supp_data2_capsule_gene_alignments_and_trees.zip

description: Alignments and phylogenetic trees for H. influenzae capsule genes and gene fragments.
DOI: 10.6084/m9.figshare.11800785.v1
title: Supp_data2_capsule_gene_alignments_and_trees.zip

description: Alignments and phylogenetic trees for H. influenzae capsule genes and gene fragments.
DOI: 10.6084/m9.figshare.11800293
title: Metadata record for: Transcriptomic resources for evolutionary studies in flat periwinkles and related species

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic resources for evolutionary studies in flat periwinkles and related species. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11800293.v2
title: Metadata record for: Transcriptomic resources for evolutionary studies in flat periwinkles and related species

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic resources for evolutionary studies in flat periwinkles and related species. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11800293.v1
title: Metadata record for: Transcriptomic resources for evolutionary studies in flat periwinkles and related species

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic resources for evolutionary studies in flat periwinkles and related species. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11800188
title: Transcriptome analysis uncovers a link between copper metabolism and fungal fitness in the opportunistic yeast Candida albicans

description: <b>Table S1. </b>List of primers used in this study.<b></b><b><br></b><b>Table S2. </b>Transcripts differentially expressed in <i>C. albicans</i> WT (SN250) under Cu excess (+Cu) and limitation (+BCS) using a 1.5-fold change cut-off and a 5% false discovery rate.<b><br></b><b>Table S3.</b> Gene Set Enrichment Analysis (GSEA) of the <i>C. albicans</i> WT (SN250) transcriptome under Cu excess (+Cu) and depletion (+BCS).<b><br></b><b>Table S4.</b><b> </b>Transcripts differentially expressed in <i>mac1</i> under Cu depletion (+BCS) using a 1.5-fold change cut-off and a 5% false discovery rate.<b><br></b><b>Table S5. </b>RNA-seq raw data of both <i>C. albicans</i> WT strain (under Cu excess and limitation) and <i>mac1</i> mutant (under Cu limitation).
DOI: 10.6084/m9.figshare.11800173
title: IJGIS-2019-0491_Data.zip

description: An experimental analysis of least-cost path models on ordinal-scaled raster surfaces<br>
DOI: 10.6084/m9.figshare.11800173.v1
title: IJGIS-2019-0491_Data.zip

description: An experimental analysis of least-cost path models on ordinal-scaled raster surfaces<br>
DOI: 10.6084/m9.figshare.11800188.v2
title: Transcriptome analysis uncovers a link between copper metabolism and fungal fitness in the opportunistic yeast Candida albicans

description: <b>Table S1. </b>List of primers used in this study.<b></b><b><br></b><b>Table S2. </b>Transcripts differentially expressed in <i>C. albicans</i> WT (SN250) under Cu excess (+Cu) and limitation (+BCS) using a 1.5-fold change cut-off and a 5% false discovery rate.<b><br></b><b>Table S3.</b> Gene Set Enrichment Analysis (GSEA) of the <i>C. albicans</i> WT (SN250) transcriptome under Cu excess (+Cu) and depletion (+BCS).<b><br></b><b>Table S4.</b><b> </b>Transcripts differentially expressed in <i>mac1</i> under Cu depletion (+BCS) using a 1.5-fold change cut-off and a 5% false discovery rate.<b><br></b><b>Table S5. </b>RNA-seq raw data of both <i>C. albicans</i> WT strain (under Cu excess and limitation) and <i>mac1</i> mutant (under Cu limitation).
DOI: 10.6084/m9.figshare.11800188.v1
title: Transcriptome analysis uncovers a link between copper metabolism and fungal fitness in the opportunistic yeast Candida albicans

description: <b>Table S1. </b>List of primers used in this study.<b></b><b><br></b><b>Table S2. </b>Transcripts differentially expressed in <i>C. albicans</i> WT (SN250) under Cu excess (+Cu) and limitation (+BCS) using a 1.5-fold change cut-off and a 5% false discovery rate.<b><br></b><b>Table S3.</b> Gene Set Enrichment Analysis (GSEA) of the <i>C. albicans</i> WT (SN250) transcriptome under Cu excess (+Cu) and depletion (+BCS).<b><br></b><b>Table S4.</b><b> </b>Transcripts differentially expressed in <i>mac1</i> under Cu depletion (+BCS) using a 1.5-fold change cut-off and a 5% false discovery rate.<b><br></b><b>Table S5. </b>RNA-seq raw data of both <i>C. albicans</i> WT strain (under Cu excess and limitation) and <i>mac1</i> mutant (under Cu limitation).
DOI: 10.6084/m9.figshare.11800014
title: data mets

description: Raw data - metabolic syndrome
DOI: 10.6084/m9.figshare.11800014.v2
title: data mets

description: Raw data - metabolic syndrome
DOI: 10.6084/m9.figshare.11800014.v1
title: data mets

description: Raw data - metabolic syndrome
DOI: 10.6084/m9.figshare.11799843
title: Supplemental data

description: Supplemental Figures, videos and Figure legends <br>
DOI: 10.6084/m9.figshare.11799843.v1
title: Supplemental data

description: Supplemental Figures, videos and Figure legends <br>
DOI: 10.6084/m9.figshare.11799792
title: S3 Table.xlsx

description: <b>Polynomial regression and log-linear regression between congenital syphilis rate in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799789
title: S2 Table.xlsx

description: <b>Polynomial regression and log-linear regression between syphilis in pregnancy rate in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799792.v1
title: S3 Table.xlsx

description: <b>Polynomial regression and log-linear regression between congenital syphilis rate in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799786
title: S4 Table.xlsx

description: <b>Polynomial regression and log-linear regression of the ratio between syphilis in pregnancy and congenital syphilis in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799789.v2
title: S2 Table.xlsx

description: <b>Polynomial regression and log-linear regression between syphilis in pregnancy rate in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799783
title: S1 Table.xlsx

description: <b>Polynomial regression and log-linear regression between acquired syphilis rate in 2011 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799789.v1
title: S2 Table.xlsx

description: <b>Polynomial regression and log-linear regression between syphilis in pregnancy rate in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799780
title: Trends of syphilis in Brazil: a growth portrait of the treponemic epidemic

description: Syphilis is a chronic infectious disease with its prevalence being described since the 15<sup>th</sup> century. Although its etiological agent and also the treatment measures are widely known, syphilis is still a great public health problem worldwide, mainly in countries with limited resources associated to low investments in health primary care. The aim of the present study was to analyze the trend and regional distribution of syphilis in Brazil between 2007 and 2017. This is an ecological study using secondary data from the Brazilian notification system. The Ministry of Health selected 100 municipalities which presented the worse outcomes related to syphilis from the 5,570 Brazilian municipalities as a target for a comprehensive project in order to tackle the prevalence of syphilis, called the “No Syphilis Project”. These priority municipalities represent 57.7% of syphilis cases and about one third of the Brazilian population. They were compared with other 189 non-priority municipalities with more than 100 thousand inhabitants among the Brazilian regions (North, Northeast, Southeast, South and Center-West). Polynomial regression methods and Joinpoint analyses were used to analyze the trend, from which the Annual Average Percent Change (AACP) for each time period was calculated. There was a significant growth trend in all regions for the main three forms of syphilis (in pregnancy, congenital and acquired), especially in the South. The ratio between syphilis in pregnancy and congenital syphilis increased in both priority (AAPC: 8.54%; <i>p</i>&lt;0.001) and non-priority municipalities (AAPC: 2.61%; <i>p</i>=0.005), as well as in the regions, except the Center-West. High growth trends in syphilis prevalence were found in all municipalities, as well as all five regions between 2007 and 2017, showing that the challenge to reduce or even eliminate syphilis in Brazil is still difficult.
DOI: 10.6084/m9.figshare.11799786.v2
title: S4 Table.xlsx

description: <b>Polynomial regression and log-linear regression of the ratio between syphilis in pregnancy and congenital syphilis in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799786.v1
title: S4 Table.xlsx

description: <b>Polynomial regression and log-linear regression of the ratio between syphilis in pregnancy and congenital syphilis in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799783.v1
title: S1 Table.xlsx

description: <b>Polynomial regression and log-linear regression between acquired syphilis rate in 2011 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799783.v2
title: S1 Table.xlsx

description: <b>Polynomial regression and log-linear regression between acquired syphilis rate in 2011 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.6084/m9.figshare.11799780.v1
title: S1 Fig_1.xlsx

description: <b>Distribution of syphilis in pregnancy rate, congenital syphilis rate and acquired syphilis rate in Brazil</b>
DOI: 10.6084/m9.figshare.11799765
title: Metadata record for: Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London

description: This dataset contains key characteristics about the data described in the Data Descriptor Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11799765.v1
title: Metadata record for: Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London

description: This dataset contains key characteristics about the data described in the Data Descriptor Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11799558
title: Filtered final transposable elements annotation of M. enterolobii genome (INRA/JKI).

description: M. enterolobii filtered TE annotation in bed format.
DOI: 10.6084/m9.figshare.11799558.v1
title: Filtered final transposable elements annotation of M. enterolobii genome (INRA/JKI).

description: M. enterolobii filtered TE annotation in bed format.
DOI: 10.6084/m9.figshare.11799402
title: Unfiltered transposable elements annotation of M. enterolobii genome (INRA/JKI).

description: draft annotation of M. enterolobii Transposable Elements TE content in bed 6 format.
DOI: 10.6084/m9.figshare.11799402.v1
title: Unfiltered transposable elements annotation of M. enterolobii genome (INRA/JKI).

description: draft annotation of M. enterolobii Transposable Elements TE content in bed 6 format.
DOI: 10.6084/m9.figshare.11799366
title: M. enterolobii cleaned TE consensus sequence library

description: Fasta sequences of the filtered TE consensuses created with TEdenovo (REPET-v2.5)
DOI: 10.6084/m9.figshare.11799342
title: SI - Vlaeminck et al. (2020) - Raw data 2

description: Supplemental information to Vlaeminck et al. (2020 - draft): "Validation of a mixture toxicity implementation in DEB-IBM: effects of copper and zinc on Daphnia magna populations."<br>Raw data on a population experiment with Dapnia magna populations exposed to mixtures of copper and zinc.