cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28377872
title: Data for "Leaf and root economics space in <i>Fraxinus mandshurica</i>: A test of the multidimensional trait framework within species"

description: Trait-based approaches provide a useful framework for characterizing plant strategies and predicting plant performance. However, these approaches have mainly been based on species trait means, thus ignoring the important role of intraspecific trait variation.We measured a suite of leaf and absorptive root traits on individuals of <i>Fraxinus mandshurica</i> in a temperate forest to explore the patterns and drivers of intraspecific trait variation and to evaluate intraspecific trait-performance relationships.Principal component analyses revealed multiple ecological strategies of plants, via variation in leaf and root traits. We found multidimensional covariation in both leaf and absorptive root traits at the intraspecific level. We found no relationship between leaf and root trait dimensions. Root trait dimensions were mainly influenced by environmental conditions, whereas leaf trait dimensions were mainly influenced by tree size. Absorptive root traits are better predictors of tree performance than leaf traits. We also found that the trait-performance relationship varied with tree size.Overall, our study emphasizes the necessity for attention to intraspecific trait variation and correlation, and contributes to a comprehensive understanding of how plants respond to multiple abiotic and biotic drivers. Additionally, we highlight the need to combine above- and below-ground traits to improve predictions of plant performance, and hence predictions of forest dynamics and ecosystem functions.<br>
DOI: 10.6084/m9.figshare.28343921
title: Response Patterns of Global Vegetation to Extreme Drought

description: Raw datasets and R codes, which are used in the paper "Response Patterns of Global Vegetation to Extreme Drought".The datasets include:<br>raw data of the PKU GIMMS NDVI from https://zenodo.org/records/8253971; the One Earth Bioregions Framework from https://www.oneearth.org/bioregions-2023/; the gridded SPEI data (SPEIbase v2.9) from https://digital.csic.es/handle/10261/332007; the Climatic Research Unit (CRU), version TS 4.07 from https://crudata.uea.ac.uk/cru/data/hrg/; temperature seasonality and precipitation seasonality data from https://www.worldclim.org/data/bioclim.html; aboveground biomass density from https://doi.org/10.3334/ORNLDAAC/2299; the global patterns of vascular plant alpha diversity from https://doi.org/10.1038/s41467-022-32063-z; maximum root depth from https://wci.earth2observe.eu/thredds/catalog/usc/root-depth/catalog.html; transpiration and soil moisture data from https://www.gleam.eu/; the Regridded Harmonized World Soil Database v1.2 from https://daac.ornl.gov/SOILS/guides/HWSD.html; land cover data from https://doi.org/10.5067/MODIS/MCD12Q1.061; atmospheric CO<sub>2</sub> concentrations from https://daac.ornl.gov/NACP/guides/NACP_MsTMIP_Model_Driver.html; burned area data from https://doi.org/10.5281/zenodo.7668423.<br>Please cite the corresponding papers correctly and follow the data usage license when using these datasets.
DOI: 10.6084/m9.figshare.28343921.v1
title: Response Patterns of Global Vegetation to Extreme Drought

description: Raw datasets and R codes, which are used in the paper "Response Patterns of Global Vegetation to Extreme Drought".The datasets include:<br>raw data of the PKU GIMMS NDVI from https://zenodo.org/records/8253971; the One Earth Bioregions Framework from https://www.oneearth.org/bioregions-2023/; the gridded SPEI data (SPEIbase v2.9) from https://digital.csic.es/handle/10261/332007; the Climatic Research Unit (CRU), version TS 4.07 from https://crudata.uea.ac.uk/cru/data/hrg/; temperature seasonality and precipitation seasonality data from https://www.worldclim.org/data/bioclim.html; aboveground biomass density from https://doi.org/10.3334/ORNLDAAC/2299; the global patterns of vascular plant alpha diversity from https://doi.org/10.1038/s41467-022-32063-z; maximum root depth from https://wci.earth2observe.eu/thredds/catalog/usc/root-depth/catalog.html; transpiration and soil moisture data from https://www.gleam.eu/; the Regridded Harmonized World Soil Database v1.2 from https://daac.ornl.gov/SOILS/guides/HWSD.html; land cover data from https://doi.org/10.5067/MODIS/MCD12Q1.061; atmospheric CO<sub>2</sub> concentrations from https://daac.ornl.gov/NACP/guides/NACP_MsTMIP_Model_Driver.html; burned area data from https://doi.org/10.5281/zenodo.7668423.<br>Please cite the corresponding papers correctly and follow the data usage license when using these datasets.
DOI: 10.15468/dl.gyvgnu
title: Occurrence Download

description: A dataset containing 1804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquila heliaca Savigny, 1809",
 "Year 2019-2025"
 ]
}

 The dataset includes 1804 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021528-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr2mh9
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Dryocosmus kuriphilus Yasumatsu, 1951"
 ]
}

 The dataset includes 91 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021530-250127130748423/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.28377818
title: Individual-level data

description: Trait-based approaches provide a useful framework for characterizing plant strategies and predicting plant performance. However, these approaches have mainly been based on species trait means, thus ignoring the important role of intraspecific trait variation. We measured a suite of leaf and absorptive root traits on individuals of <i>Fraxinus mandshurica</i> in a temperate forest to explore the patterns and drivers of intraspecific trait variation and to evaluate intraspecific trait-performance relationships. Principal component analyses revealed multiple ecological strategies of plants, via variation in leaf and root traits. We found multidimensional covariation in both leaf and absorptive root traits at the intraspecific level. We found no relationship between leaf and root trait dimensions. Root trait dimensions were mainly influenced by environmental conditions, whereas leaf trait dimensions were mainly influenced by tree size. Absorptive root traits are better predictors of tree performance than leaf traits. We also found that the trait-performance relationship varied with tree size.Overall, our study emphasizes the necessity for attention to intraspecific trait variation and correlation, and contributes to a comprehensive understanding of how plants respond to multiple abiotic and biotic drivers. Additionally, we highlight the need to combine above- and below-ground traits to improve predictions of plant performance, and hence predictions of forest dynamics and ecosystem functions.<br>
DOI: 10.15468/dl.srzkns
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Dryocosmus kuriphilus Yasumatsu, 1951"
 ]
}

 The dataset includes 91 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021532-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eubyk
title: Occurrence Download

description: A dataset containing 243924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lupinus polyphyllus Lindl."
 ]
}

 The dataset includes 243924 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021520-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhx3kf
title: Occurrence Download

description: A dataset containing 6947933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLongitude is greater than -6",
 "DecimalLatitude is greater than 30",
 "DecimalLongitude is less than 42.5",
 "DecimalLatitude is less than 47.5",
 "Year is 2014"
 ]
}

 The dataset includes 6947933 records from 2643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021523-250127130748423/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.26683549.v1
title: Additional file 7 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 7: Table S2. Protein expression data from DDA experiments.
DOI: 10.6084/m9.figshare.26683552
title: Additional file 8 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 8: Table S3. Protein expression data from DIA experiments.
DOI: 10.6084/m9.figshare.26683552.v1
title: Additional file 8 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 8: Table S3. Protein expression data from DIA experiments.
DOI: 10.6084/m9.figshare.26683555
title: Additional file 9 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 9: Table S4. Concentration of each protein of the seven-protein panel measured by MRM in all subjects.
DOI: 10.6084/m9.figshare.26683555.v1
title: Additional file 9 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 9: Table S4. Concentration of each protein of the seven-protein panel measured by MRM in all subjects.
DOI: 10.6084/m9.figshare.26683558
title: Additional file 10 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 10: Table S5. Concentration and statistical analysis of each protein of the seven-protein panel measured by MRM in CRC cases shown in Figure 4, D and E.
DOI: 10.6084/m9.figshare.26683558.v1
title: Additional file 10 of A proteomic classifier panel for early screening of colorectal cancer: a case control study

description: Additional file 10: Table S5. Concentration and statistical analysis of each protein of the seven-protein panel measured by MRM in CRC cases shown in Figure 4, D and E.
DOI: 10.6084/m9.figshare.26683597
title: Additional file 4 of The role of ataluren in the treatment of ambulatory and non-ambulatory children with nonsense mutation duchenne muscular dystrophy - a consensus derived using a modified Delphi methodology in Eastern Europe, Greece, Israel and Sweden

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26683597.v1
title: Additional file 4 of The role of ataluren in the treatment of ambulatory and non-ambulatory children with nonsense mutation duchenne muscular dystrophy - a consensus derived using a modified Delphi methodology in Eastern Europe, Greece, Israel and Sweden

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26683606
title: Additional file 1 of Chili pepper extracts, capsaicin, and dihydrocapsaicin as potential anticancer agents targeting topoisomerases

description: Supplementary Material.
DOI: 10.6084/m9.figshare.26683606.v1
title: Additional file 1 of Chili pepper extracts, capsaicin, and dihydrocapsaicin as potential anticancer agents targeting topoisomerases

description: Supplementary Material.
DOI: 10.15468/dl.4pyfyf
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "PublishingOrg is 2a7e3080-28a9-11dd-97cd-b8a03c50a862",
 "TaxonKey is Cattleya Lindl."
 ]
}

 The dataset's 5 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067387-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebkkxn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.72883 -32.694874, 148.72883 -32.699365, 148.733321 -32.699365, 148.733321 -32.694874, 148.72883 -32.694874)), ((148.733321 -32.699365, 148.733321 -32.703857, 148.735567 -32.703857, 148.735567 -32.699365, 148.733321 -32.699365)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067407-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26609283.v1
title: Additional file 6 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26609292.v1
title: Additional file 9 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 9
DOI: 10.5281/zenodo.13315552
title: PlantWaterStatus_IrrigatedAlmonds_California

description: Pressure chamber, microtensiometer (Florapulse), soil, and meteorological data from almond varietals at the Chico State University Farm.
DOI: 10.5281/zenodo.13315553
title: PlantWaterStatus_IrrigatedAlmonds_California

description: Pressure chamber, microtensiometer (Florapulse), soil, and meteorological data from almond varietals at the Chico State University Farm.
DOI: 10.15468/dl.pp8crb
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myomimus roachi (Bate, 1937)"
 ]
}

 The dataset's 2 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067391-240626123714530/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.26609280
title: Additional file 5 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26609286
title: Additional file 7 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.26683720
title: Additional file 1 of Low CO2 concentration, a key environmental factor for developing plateau adapted rapeseed

description: Additional file 1: Table S1. Photosynthetic parameters of rapeseed varieties at 1500 μmol m−2s−1 photosynthetically active radiation and 300 μmol mol−1 CO2 concentration. Table S2. Photosynthetic parameters of rapeseed varieties at 1000 μmol m−2s−1 photosynthetically active radiation and 300 μmol mol−1 CO2 concentration. Table S3. Photosynthetic parameters of rapeseed varieties at 1500 μmol m−2s−1 photosynthetically active radiation. Table S4. Photosynthetic parameters among rapeseed varieties in a plateau environment. An net photosynthetic rate, Gs stomatal conductance, Ci intercellular carbon dioxide concentration, Tr transpiration rate. Table S5. Oil content and yield in seeds of different rapeseed varieties in two ecological environments: plain (Chengdu, Sichuan) and plateau (Lhasa, Tibet). Table S6. Fatty acid composition in seeds of different rapeseed varieties in two ecological environments: plain (Chengdu, Sichuan) and plateau (Lhasa, Tibet).
DOI: 10.6084/m9.figshare.26683720.v1
title: Additional file 1 of Low CO2 concentration, a key environmental factor for developing plateau adapted rapeseed

description: Additional file 1: Table S1. Photosynthetic parameters of rapeseed varieties at 1500 μmol m−2s−1 photosynthetically active radiation and 300 μmol mol−1 CO2 concentration. Table S2. Photosynthetic parameters of rapeseed varieties at 1000 μmol m−2s−1 photosynthetically active radiation and 300 μmol mol−1 CO2 concentration. Table S3. Photosynthetic parameters of rapeseed varieties at 1500 μmol m−2s−1 photosynthetically active radiation. Table S4. Photosynthetic parameters among rapeseed varieties in a plateau environment. An net photosynthetic rate, Gs stomatal conductance, Ci intercellular carbon dioxide concentration, Tr transpiration rate. Table S5. Oil content and yield in seeds of different rapeseed varieties in two ecological environments: plain (Chengdu, Sichuan) and plateau (Lhasa, Tibet). Table S6. Fatty acid composition in seeds of different rapeseed varieties in two ecological environments: plain (Chengdu, Sichuan) and plateau (Lhasa, Tibet).
DOI: 10.6084/m9.figshare.26609280.v1
title: Additional file 5 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26609286.v1
title: Additional file 7 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.26609241
title: Additional file 2 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 2: DatasetS1. Accession IDs, GTDB phylogenetic classifications, and assembly quality metrics for all genomes used in this study. Also includes node IDs for species’ representative nodes in the phylogenetic tree used for ancestral reconstruction.
DOI: 10.6084/m9.figshare.26609289.v1
title: Additional file 8 of Epstein Barr virus infection in tree shrews alters the composition of gut microbiota and metabolome profile

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.26609250.v1
title: Additional file 5 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 5: DatasetS4. Orthogroup analysis of modern core genomes, the LBCA core genome, and JCVI-Syn3A. Includes estimated orthogroup frequencies, annotations, functional categories, and LBCA prediction thresholds (gain/loss ratios from parsimony models, posterior probabilities from GLOOME).
DOI: 10.6084/m9.figshare.26609253
title: Additional file 6 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 6: DatasetS5. Metabolic analysis of the LBCA core genome. Includes mappings between COG and KEGG orthogroups, active KEGG modules in the LBCA core genome, and metabolite abbreviations for LBCA metabolic pathways.
DOI: 10.15468/dl.3rn3kz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.625523 -32.703857, 148.627769 -32.703857, 148.627769 -32.69712, 148.630014 -32.69712, 148.630014 -32.690382, 148.621031 -32.690382, 148.621031 -32.694874, 148.625523 -32.694874, 148.625523 -32.69712, 148.618785 -32.69712, 148.618785 -32.706103, 148.621031 -32.706103, 148.621031 -32.710594, 148.627769 -32.710594, 148.627769 -32.706103, 148.625523 -32.706103, 148.625523 -32.703857)), ((148.627769 -32.706103, 148.634506 -32.706103, 148.634506 -32.699365, 148.643489 -32.699365, 148.643489 -32.694874, 148.636752 -32.694874, 148.636752 -32.69712, 148.630014 -32.69712, 148.630014 -32.703857, 148.627769 -32.703857, 148.627769 -32.706103)), ((148.630014 -32.690382, 148.634506 -32.690382, 148.634506 -32.685891, 148.630014 -32.685891, 148.630014 -32.690382)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067408-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26609247
title: Additional file 4 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 4: DatasetS3. Results of benchmarking experiments for estimating true gene frequencies and genome-specific gene recovery rates from pangenomes.
DOI: 10.6084/m9.figshare.26609250
title: Additional file 5 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 5: DatasetS4. Orthogroup analysis of modern core genomes, the LBCA core genome, and JCVI-Syn3A. Includes estimated orthogroup frequencies, annotations, functional categories, and LBCA prediction thresholds (gain/loss ratios from parsimony models, posterior probabilities from GLOOME).
DOI: 10.6084/m9.figshare.26609253.v1
title: Additional file 6 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 6: DatasetS5. Metabolic analysis of the LBCA core genome. Includes mappings between COG and KEGG orthogroups, active KEGG modules in the LBCA core genome, and metabolite abbreviations for LBCA metabolic pathways.
DOI: 10.6084/m9.figshare.26609244
title: Additional file 3 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 3: DatasetS2. Species phylogenetic tree used for ancestral reconstruction.
DOI: 10.6084/m9.figshare.26609241.v1
title: Additional file 2 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 2: DatasetS1. Accession IDs, GTDB phylogenetic classifications, and assembly quality metrics for all genomes used in this study. Also includes node IDs for species’ representative nodes in the phylogenetic tree used for ancestral reconstruction.
DOI: 10.6084/m9.figshare.26609244.v1
title: Additional file 3 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 3: DatasetS2. Species phylogenetic tree used for ancestral reconstruction.
DOI: 10.6084/m9.figshare.26609247.v1
title: Additional file 4 of Reconstruction of the last bacterial common ancestor from 183 pangenomes reveals a versatile ancient core genome

description: Additional file 4: DatasetS3. Results of benchmarking experiments for estimating true gene frequencies and genome-specific gene recovery rates from pangenomes.
DOI: 10.6084/m9.figshare.26683756
title: Additional file 2 of The COVID-19 pandemic impact on continuity of care provision on rare brain diseases and on ataxias, dystonia and PKU. A scoping review

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26683756.v1
title: Additional file 2 of The COVID-19 pandemic impact on continuity of care provision on rare brain diseases and on ataxias, dystonia and PKU. A scoping review

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26571811
title: Additional file 2 of Identification and verification of feature biomarkers associated with immune cells in neonatal sepsis

description: Additional file 2: Table S2. The immune cell compositions of neonatal sepsis patients and normal samples.
DOI: 10.6084/m9.figshare.26683804
title: Additional file 2 of Genome-wide identification and expression patterns in response to signals from cadmium of StCADs gene family in potato (Solanum tuberosum L.)

description: Additional file 2. Primer sequences for quantification of StCADs genes.
DOI: 10.6084/m9.figshare.26683804.v1
title: Additional file 2 of Genome-wide identification and expression patterns in response to signals from cadmium of StCADs gene family in potato (Solanum tuberosum L.)

description: Additional file 2. Primer sequences for quantification of StCADs genes.