cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8124385
title: ERALClim - WMO climate baseline global climate variables derived from ERA5-Land reanalysis data

description: If you use this dataset please cite the accompanying paper (Lea et al., 2024)

Maps of key (bio-)climatic variables derived from all currently available ERA5-Land reanalysis data (Muñoz Sabater et al., 2019). These have been calculated for:

1. All possible World Meteorological Organisation (WMO) 30 year climate baseline periods, including: 1951 to 1980; 1961 to 1990; 1971 to 2000; 1981 to 2010; and 1991 to 2020 (this dataset).

2. Annual timescales from 1951-2022 (see here).

Annual timescale data are calculated using monthly statistics using calendar months that account for leap years. WMO baseline maps are calculated by taking the mean of all annual timescale ERALClim maps that fall within the time periods stated above (inclusive). Image bands are named to map onto equivalent BioClim variables (Fick and Hijmans, 2017).

Global data are provided here in GeoTIFF format as multiband images (where each band represents a different year/variable depending on the data downloaded) at a spatial scale of 0.1 degrees within a WGS84 grid (EPSG:4326). If users require data from point locations and/or subset regions for a specific time range or for a custom range of variables, these can be easily accessed using the Google Earth Engine Climate Tool (GEEClimT). Access to this tool requires a Google Earth Engine account, and is free to use for academic research and education purposes, and users who access data through the tool should cite Lea et al., 2024.

Descriptions of each band within the dataset are listed below:

bio1 - Mean 2 m air temperature derived from hourly data (units: degrees C).

bio2 - Annual mean of monthly mean diurnal 2 m air temperature ranges (units: degrees C).

bio3 - Isothermality (100 * bio2 / bio7) (no units).

bio4 - Standard deviation of monthly mean 2 m air temperatures (units: degrees C).

bio5 - Mean of maximum 2 m air temperature for the warmest month (units: degrees C).

bio6 - Mean of minimum 2 m air temperature for the coldest month (units: degrees C).

bio7 - Annual range of 2 m air temperature (bio5 - bio6) (units: degrees C).

bio8 - Mean 2 m air temperature of wettest 3 month period (units: degrees C).

bio9 - Mean 2 m air temperature of driest 3 month period (units: degrees C).

bio10 - Mean 2 m air temperature of warmest 3 month period (units: degrees C).

bio11 - Mean 2 m air temperature of coldest 3 month period (units: degrees C).

bio12 - Total annual precipitation (units: mm).

bio13 - Total precipitation of wettest month (units: mm).

bio14 - Total precipitation of driest month (units: mm).

bio15 - Precipitation Seasonality (Coefficient of Variation, based on monthly total precipitation data) (no units).

bio16 - Total precipitation in wettest 3 month period (units: mm).

bio17 - Total precipitation in driest 3 month period (units: mm).

bio18 - Total precipitation in warmest 3 month period (units: mm).

bio19 - Total precipitation in coldest 3 month period (units: mm).
DOI: 10.6084/m9.figshare.23255489
title: Additional file 4 of Chloroplast genome characteristics and phylogeny of the sinodielsia clade (apiaceae: apioideae)

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.23255495
title: Additional file 6 of Chloroplast genome characteristics and phylogeny of the sinodielsia clade (apiaceae: apioideae)

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.19068699.v1
title: Additional file 2 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 2: Supplementary Table 2. Summary of the publicly available complete bacterial plasmids and genomes used in this study.
DOI: 10.6084/m9.figshare.8058065
title: Additional file 8: of Genetic architecture of grain yield in bread wheat based on genome-wide association studies

description: Table S6. Loci for grain yield and related traits identified by SNP-GWAS and Haplotype-GWAS. (XLSX 66 kb)
DOI: 10.6084/m9.figshare.23255486
title: Additional file 3 of Chloroplast genome characteristics and phylogeny of the sinodielsia clade (apiaceae: apioideae)

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.19068735
title: Additional file 9 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 9: Supplementary Table 10. Summary of all the identified virulence plasmids (27 in total).
DOI: 10.6084/m9.figshare.13294402
title: Additional file 6 of Genomics and lipidomics analysis of the biotechnologically important oleaginous red yeast Rhodotorula glutinis ZHK provides new insights into its lipid and carotenoid metabolism

description: Additional file 6. Comprehensive information of all identified lipid metabolites.
DOI: 10.6084/m9.figshare.8058065.v1
title: Additional file 8: of Genetic architecture of grain yield in bread wheat based on genome-wide association studies

description: Table S6. Loci for grain yield and related traits identified by SNP-GWAS and Haplotype-GWAS. (XLSX 66 kb)
DOI: 10.6084/m9.figshare.13294387.v1
title: Additional file 1 of Genomics and lipidomics analysis of the biotechnologically important oleaginous red yeast Rhodotorula glutinis ZHK provides new insights into its lipid and carotenoid metabolism

description: Additional file 1. Genome completeness analysis through aligning the orthologs of the ZHK to a reference gene set of basidiomycota_odb9.
DOI: 10.25919/hbyq-zg13
title: Parkes observations for project P630 semester 2008OCTS_10

description: We propose to carry out the most ambitious and comprehensive all-sky survey for pulsars and transient sources to date. Using the 20cm multibeam and a new digital filterbank array this survey will create a petabyte digital record of the sky that can be data mined in the future and used to search for relativistic binary and millisecond pulsars, RRATs, and extragalactic radio bursts. The survey should discover 100s of new millisecond and normal pulsars and help define the lower limit to pulsar periods, test theories of relativistic gravity, find transients and provide pulsars for gravitational wave detection.
DOI: 10.6084/m9.figshare.13294396.v1
title: Additional file 4 of Genomics and lipidomics analysis of the biotechnologically important oleaginous red yeast Rhodotorula glutinis ZHK provides new insights into its lipid and carotenoid metabolism

description: Additional file 4. Gene structure optimization resulted from RNA-seq data.
DOI: 10.6084/m9.figshare.23255492
title: Additional file 5 of Chloroplast genome characteristics and phylogeny of the sinodielsia clade (apiaceae: apioideae)

description: Supplementary Material 5
DOI: 10.5281/zenodo.8120645
title: ERALClim - annual global climate variables derived from ERA5-Land reanalysis data

description: If you use this dataset please cite the accompanying paper (Lea et al., 2024)

Maps of key (bio-)climatic variables derived from all currently available ERA5-Land reanalysis data (Muñoz Sabater et al., 2019). These have been calculated for:

1. Annual timescales from 1951-2022 (this dataset); and

2. All possible World Meteorological Organisation (WMO) 30 year climate baseline periods, including: 1951 to 1980; 1961 to 1990; 1971 to 2000; 1981 to 2010; and 1991 to 2020 (see link).

Annual timescale data are calculated using monthly statistics using calendar months that account for leap years. WMO baseline maps are calculated by taking the mean of all annual timescale ERALClim maps that fall within the time periods stated above (inclusive). Image bands are named to map onto equivalent BioClim variables (Fick and Hijmans, 2017).

Global data are provided here in GeoTIFF format as multiband images (where each band represents a different year/variable depending on the data downloaded) at a spatial scale of 0.1 degrees within a WGS84 grid (EPSG:4326). If users require data from point locations and/or subset regions for a specific time range or for a custom range of variables, these can be easily accessed using the Google Earth Engine Climate Tool (GEEClimT; Lea et al.). Access to this tool requires a Google Earth Engine account, and is free to use for academic research and education purposes. If you use any data extracted using this tool, please cite Lea et al., 2024.

Descriptions of each band within the dataset are listed below:

bio1 - Mean 2 m air temperature derived from hourly data (units: degrees C).

bio2 - Annual mean of monthly mean diurnal 2 m air temperature ranges (units: degrees C).

bio3 - Isothermality (100 * bio2 / bio7) (no units).

bio4 - Standard deviation of monthly mean 2 m air temperatures (units: degrees C).

bio5 - Mean of maximum 2 m air temperature for the warmest month (units: degrees C).

bio6 - Mean of minimum 2 m air temperature for the coldest month (units: degrees C).

bio7 - Annual range of 2 m air temperature (bio5 - bio6) (units: degrees C).

bio8 - Mean 2 m air temperature of wettest 3 month period (units: degrees C).

bio9 - Mean 2 m air temperature of driest 3 month period (units: degrees C).

bio10 - Mean 2 m air temperature of warmest 3 month period (units: degrees C).

bio11 - Mean 2 m air temperature of coldest 3 month period (units: degrees C).

bio12 - Total annual precipitation (units: mm).

bio13 - Total precipitation of wettest month (units: mm).

bio14 - Total precipitation of driest month (units: mm).

bio15 - Precipitation Seasonality (Coefficient of Variation, based on monthly total precipitation data) (no units).

bio16 - Total precipitation in wettest 3 month period (units: mm).

bio17 - Total precipitation in driest 3 month period (units: mm).

bio18 - Total precipitation in warmest 3 month period (units: mm).

bio19 - Total precipitation in coldest 3 month period (units: mm).
DOI: 10.5281/zenodo.8120646
title: ERALClim - annual global climate variables derived from ERA5-Land reanalysis data

description: If you use this dataset please cite the accompanying paper (Lea et al., 2024)

Maps of key (bio-)climatic variables derived from all currently available ERA5-Land reanalysis data (Muñoz Sabater et al., 2019). These have been calculated for:

1. Annual timescales from 1951-2022 (this dataset); and

2. All possible World Meteorological Organisation (WMO) 30 year climate baseline periods, including: 1951 to 1980; 1961 to 1990; 1971 to 2000; 1981 to 2010; and 1991 to 2020 (see link).

Annual timescale data are calculated using monthly statistics using calendar months that account for leap years. WMO baseline maps are calculated by taking the mean of all annual timescale ERALClim maps that fall within the time periods stated above (inclusive). Image bands are named to map onto equivalent BioClim variables (Fick and Hijmans, 2017).

Global data are provided here in GeoTIFF format as multiband images (where each band represents a different year/variable depending on the data downloaded) at a spatial scale of 0.1 degrees within a WGS84 grid (EPSG:4326). If users require data from point locations and/or subset regions for a specific time range or for a custom range of variables, these can be easily accessed using the Google Earth Engine Climate Tool (GEEClimT; Lea et al.). Access to this tool requires a Google Earth Engine account, and is free to use for academic research and education purposes. If you use any data extracted using this tool, please cite Lea et al., 2024.

Descriptions of each band within the dataset are listed below:

bio1 - Mean 2 m air temperature derived from hourly data (units: degrees C).

bio2 - Annual mean of monthly mean diurnal 2 m air temperature ranges (units: degrees C).

bio3 - Isothermality (100 * bio2 / bio7) (no units).

bio4 - Standard deviation of monthly mean 2 m air temperatures (units: degrees C).

bio5 - Mean of maximum 2 m air temperature for the warmest month (units: degrees C).

bio6 - Mean of minimum 2 m air temperature for the coldest month (units: degrees C).

bio7 - Annual range of 2 m air temperature (bio5 - bio6) (units: degrees C).

bio8 - Mean 2 m air temperature of wettest 3 month period (units: degrees C).

bio9 - Mean 2 m air temperature of driest 3 month period (units: degrees C).

bio10 - Mean 2 m air temperature of warmest 3 month period (units: degrees C).

bio11 - Mean 2 m air temperature of coldest 3 month period (units: degrees C).

bio12 - Total annual precipitation (units: mm).

bio13 - Total precipitation of wettest month (units: mm).

bio14 - Total precipitation of driest month (units: mm).

bio15 - Precipitation Seasonality (Coefficient of Variation, based on monthly total precipitation data) (no units).

bio16 - Total precipitation in wettest 3 month period (units: mm).

bio17 - Total precipitation in driest 3 month period (units: mm).

bio18 - Total precipitation in warmest 3 month period (units: mm).

bio19 - Total precipitation in coldest 3 month period (units: mm).
DOI: 10.6084/m9.figshare.19068693.v1
title: Additional file 1 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 1: Supplementary Table 1. Quality evaluation of the assembled MDR isolates (82 in total).
DOI: 10.6084/m9.figshare.19068699
title: Additional file 2 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 2: Supplementary Table 2. Summary of the publicly available complete bacterial plasmids and genomes used in this study.
DOI: 10.6084/m9.figshare.13294426
title: Additional file 4 of Management of flying insects on expressways through an academic-industrial collaboration: evaluation of the effect of light wavelengths and meteorological factors on insect attraction

description: Additional file 4. Classification of insects captured by light traps in Yubari in 2017 and 2018.
DOI: 10.6084/m9.figshare.9631577.v1
title: Additional file 3: of Genetic determinants controlling maize rubisco activase gene expression and a comparison with rice counterparts

description: Table S3. Origin and haplotype of plant materials of maize and rice association populations in this study. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.19068708
title: Additional file 4 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 4: Supplementary Table 4. Summary of pairwise core genome SNPs for Escherichia flexneri (623 in total) and Klebsiella pneumoniae (388 in total).
DOI: 10.6084/m9.figshare.13294402.v1
title: Additional file 6 of Genomics and lipidomics analysis of the biotechnologically important oleaginous red yeast Rhodotorula glutinis ZHK provides new insights into its lipid and carotenoid metabolism

description: Additional file 6. Comprehensive information of all identified lipid metabolites.
DOI: 10.6084/m9.figshare.19068729.v1
title: Additional file 8 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 8: Supplementary Table 9. Summary of recent IS-associated ARG transfer between WWTPs and public datasets.
DOI: 10.6084/m9.figshare.19068735.v1
title: Additional file 9 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 9: Supplementary Table 10. Summary of all the identified virulence plasmids (27 in total).
DOI: 10.6084/m9.figshare.21680604
title: Additional file 3 of Identification and validation of an E2F-related gene signature for predicting recurrence-free survival in human prostate cancer

description: Additional file 3: Table S3. Supplemental Table 3. The GSVA results of MSKCC (GSE21032) dataset.
DOI: 10.6084/m9.figshare.21680604.v1
title: Additional file 3 of Identification and validation of an E2F-related gene signature for predicting recurrence-free survival in human prostate cancer

description: Additional file 3: Table S3. Supplemental Table 3. The GSVA results of MSKCC (GSE21032) dataset.
DOI: 10.6084/m9.figshare.21680613.v1
title: Additional file 6 of Identification and validation of an E2F-related gene signature for predicting recurrence-free survival in human prostate cancer

description: Additional file 6: Table S6. The GSVA results of GSE70769 dataset.
DOI: 10.6084/m9.figshare.9631628.v1
title: Additional file 9: of Genetic determinants controlling maize rubisco activase gene expression and a comparison with rice counterparts

description: Table S6. SNP markers associated with the maize grain yield in the association population. (XLSX 36 kb)
DOI: 10.6084/m9.figshare.13294387
title: Additional file 1 of Genomics and lipidomics analysis of the biotechnologically important oleaginous red yeast Rhodotorula glutinis ZHK provides new insights into its lipid and carotenoid metabolism

description: Additional file 1. Genome completeness analysis through aligning the orthologs of the ZHK to a reference gene set of basidiomycota_odb9.
DOI: 10.6084/m9.figshare.21680613
title: Additional file 6 of Identification and validation of an E2F-related gene signature for predicting recurrence-free survival in human prostate cancer

description: Additional file 6: Table S6. The GSVA results of GSE70769 dataset.
DOI: 10.6084/m9.figshare.21680617.v1
title: Additional file 9 of LncRNA CEBPA-DT promotes liver cancer metastasis through DDR2/β-catenin activation via interacting with hnRNPC

description: Additional file 9. Supplementary RNA sequencing results.
DOI: 10.6084/m9.figshare.19068708.v1
title: Additional file 4 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 4: Supplementary Table 4. Summary of pairwise core genome SNPs for Escherichia flexneri (623 in total) and Klebsiella pneumoniae (388 in total).
DOI: 10.6084/m9.figshare.19068723
title: Additional file 6 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 6: Supplementary Table 6. Summary of all the detected ARGs.
DOI: 10.6084/m9.figshare.9631799.v1
title: Additional file 6: of Signatures of differential selection in chloroplast genome between japonica and indica

description: Table S6 Reduction of nucleotide diversity between indica and japonica in the cp genome. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.12777140.v1
title: Metadata record for the manuscript: Preoperative magnetic resonance imaging use and oncologic outcomes in premenopausal breast cancer patients

description: <b>Summary</b>This metadata record provides details of the data supporting the claims of the related manuscript: “Preoperative magnetic resonance imaging use and oncologic outcomes in premenopausal breast cancer patients”.<br>The related study aimed to to clarify the potential benefit of preoperative breast MRI on long-term breast cancer outcomes in younger women (age ≤50 years) by constructing a retrospective cohort of 512 women diagnosed with primary breast cancer seen at the Lynn Sage Breast Center who underwent breast conserving surgery performed at Northwestern Medicine.<br><b>Data access</b>The data supporting the related study and underlying all figures and tables in the related manuscript are collected in the file "df_MRI_de-identified.csv". This file is not publicly available due to data privacy policies regarding participant consent: patients did not provide consent to share their data publicly. However, the data can be provided upon request to the corresponding author:<br>Seema A. Khan<br>Northwestern University<br>United Statesskhan@nmh.org<br><b>Name of Institutional Review Board or ethics committee that approved the study</b><br>Northwestern University Institutional Review Board<br><br><br>
DOI: 10.6084/m9.figshare.9631778.v1
title: Additional file 2: of Signatures of differential selection in chloroplast genome between japonica and indica

description: Table S2. Summary of the total variant among the subgroups. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.9631787.v1
title: Additional file 3: of Signatures of differential selection in chloroplast genome between japonica and indica

description: Table S3. Location of all the SNPs and InDels in their coding region in the reference detected in this study. (XLSX 114 kb)
DOI: 10.6084/m9.figshare.20116936.v1
title: Long non-coding RNA-X-inactive specific transcript inhibits cell viability, and induces apoptosis through the microRNA-30c-5p/Bcl2-like protein 11 signaling axis in human granulosa-like tumor cells

description: The role of long noncoding RNAs (lncRNAs) is being actively explored in polycystic ovary syndrome (PCOS). Recent research has shown that long non-coding RNA (lncRNA) X–inactive Specific Transcript (XIST) is overexpressed in patients with PCOS and is associated with poor pregnancy outcomes. However, the precise function and mechanism of action of lncRNA XIST in PCOS are unknown. We aimed to determine whether lncRNA XIST contributes to PCOS by modulating ovarian granulosa cell physiology. We also investigated any potential molecular regulatory mechanisms. In this study, we discovered that the lncRNA XIST was significantly downregulated in human ovarian granulosa-like tumor (KGN) cells. Notably, overexpression of lncRNA XIST decreased miR-30c-5p expression in KGN cells, inhibited proliferation, and induced apoptosis in KGN cells. However, cotransfection with amiR-30c-5p mimic significantly reduced these effects. Additionally, we discovered that the miR-30c-5p mimic effectively inhibited Bcl2-like protein 11 (BCL2L11) expression, a critical apoptotic promoter, whereas silencing of miR-30c-5p increased BCL2L11 expression, inhibited KGN cell proliferation, and induced apoptosis. In contrast, cotransfection of BCL2L11 with siRNA significantly reversed these effects. In conclusion, this study established that lncRNA XIST plays a critical role in PCOS by modulating the miR-30c-5p/BCL2L11 signaling axis and regulating ovarian granulosa cell physiology.
DOI: 10.6084/m9.figshare.9631634.v1
title: Additional file 4: of Genome-wide association analysis of egg production performance in chickens across the whole laying period

description: Table S2. Basic information of SNP markers on a physical map after quality control. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.19068705
title: Additional file 3 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 3: Supplementary Table 3. Summary of the assembled complete MDR isolates with Nanopore and Illumina reads (82 in total).
DOI: 10.6084/m9.figshare.19068729
title: Additional file 8 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 8: Supplementary Table 9. Summary of recent IS-associated ARG transfer between WWTPs and public datasets.
DOI: 10.6084/m9.figshare.19068705.v1
title: Additional file 3 of High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria

description: Additional file 3: Supplementary Table 3. Summary of the assembled complete MDR isolates with Nanopore and Illumina reads (82 in total).
DOI: 10.6084/m9.figshare.23255492.v1
title: Additional file 5 of Chloroplast genome characteristics and phylogeny of the sinodielsia clade (apiaceae: apioideae)

description: Supplementary Material 5