cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7ae48s
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Hakonechloa macra (Munro) Honda)"
 ]
}

 The dataset includes 234 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002608-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14229927
title: Bee phenological data from the Brazilian tropics
DOI: 10.5281/zenodo.14229928
title: Bee phenological data from the Brazilian tropics
DOI: 10.5281/zenodo.14230141
title: Data on Companies of the Hungarian Battery Value Chain

description: This dataset compiles data on companies of the Hungarian electric vehicle battery value chain. The data is accurate as of November 2024. 

The following data is presented:



Position in the value chain;

Company name;

Data on the investment and investment subsidies provided by the Hungarian Government;

Company financials (2023),

Employee numbers, information on agency workers, average wages.
DOI: 10.5281/zenodo.14230142
title: Data on Companies of the Hungarian Battery Value Chain

description: This dataset compiles data on companies of the Hungarian electric vehicle battery value chain. The data is accurate as of November 2024. 

The following data is presented:



Position in the value chain;

Company name;

Data on the investment and investment subsidies provided by the Hungarian Government;

Company financials (2023),

Employee numbers, information on agency workers, average wages.
DOI: 10.15468/dl.z7k4ju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Oreorchis yachangensis Z.B.Zhang & B.G.Huang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002609-241126133413365/datasets/export for details.
DOI: 10.15468/dl.ks4qb6
title: Occurrence Download

description: A dataset containing 610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Phaenosperma globosum Munro ex Benth.)"
 ]
}

 The dataset includes 610 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002610-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4dktt
title: Occurrence Download

description: A dataset containing 118045 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Burundi"
 ]
}

 The dataset includes 118045 records from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002578-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amvkns
title: Occurrence Download

description: A dataset containing 320933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Norway, Sweden, Denmark, Finland)",
 "GbifRegion is Europe and Central Asia",
 "Geometry POLYGON((-1.55709 50.50519,38.70923 50.50519,38.70923 73.18392,-1.55709 73.18392,-1.55709 50.50519))",
 "TaxonKey is Quercus robur L."
 ]
}

 The dataset includes 320933 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002576-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76p2jw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Phyllostachys acuta C.D.Chu & C.S.Chao)"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002612-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48670/moi-00014
title: Baltic Sea Wave Hindcast
DOI: 10.15468/dl.p9c6ry
title: Occurrence Download

description: A dataset containing 379150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aquila chrysaetos (Linnaeus, 1758)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 379150 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002591-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y49vcy
title: Occurrence Download

description: A dataset containing 13944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caesalpinia pulcherrima (L.) Sw."
 ]
}

 The dataset includes 13944 records from 502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002472-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c63f6p
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera uncia (Schreber, 1775)"
 ]
}

 The dataset includes 370 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002473-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddc3cp
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Camelus Linnaeus, 1758"
 ]
}

 The dataset includes 156 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002474-250221090833381/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.28466879
title: AUPRCs of each model

description: Centralized: Model trained on pooled data, FL: Federated Learning. The rows indicate where the models were developed, including centralized and federated models, while the columns represent the regions where the models were applied. The data are presented as the median with the range from the 2.5th to 97.5th percentile of 1000 bootstrap samples shown in parentheses.
DOI: 10.6084/m9.figshare.28466879.v1
title: AUPRCs of each model

description: Centralized: Model trained on pooled data, FL: Federated Learning. The rows indicate where the models were developed, including centralized and federated models, while the columns represent the regions where the models were applied. The data are presented as the median with the range from the 2.5th to 97.5th percentile of 1000 bootstrap samples shown in parentheses.
DOI: 10.15468/dl.umjfn5
title: Occurrence Download

description: A dataset containing 227839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodophyta",
 "Year 2019-2024"
 ]
}

 The dataset includes 227839 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002469-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14915174
title: Big Data & Quality Productive Forces in China
DOI: 10.5281/zenodo.14915175
title: Big Data & Quality Productive Forces in China
DOI: 10.5281/zenodo.10374038
title: Sources data for "Soil organic carbon thresholds control fertilizer effects on carbon accrual in croplands worldwide"
DOI: 10.5281/zenodo.10374039
title: Sources data for "Soil organic carbon thresholds control fertilizer effects on carbon accrual in croplands worldwide"
DOI: 10.15468/dl.2szs5k
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera uncia (Schreber, 1775)"
 ]
}

 The dataset includes 370 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002475-250221090833381/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.28466891
title: Dataset for DREAMER

description: Dataset for DREAMER, a structured, visually guided AI prompt generation tool designed to enhance creative expression in text-to-image generation for novices.
DOI: 10.6084/m9.figshare.28463654.v1
title: Temperature and precipitation determined the cause and consequence of pathogen infection on host plants

description: Dataset and Rcode for "Temperature and precipitation determined the cause and consequence of pathogen infection on host plants"
DOI: 10.6084/m9.figshare.28466894
title: Brier scores of each model

description: Centralized: Model trained on pooled data, FL: Federated Learning. The rows indicate where the models were developed, including centralized and federated models, while the columns represent the regions where the models were applied. The data are presented as the median with the range from the 2.5th to 97.5th percentile of 1000 bootstrap samples shown in parentheses.
DOI: 10.6084/m9.figshare.28466894.v1
title: Brier scores of each model

description: Centralized: Model trained on pooled data, FL: Federated Learning. The rows indicate where the models were developed, including centralized and federated models, while the columns represent the regions where the models were applied. The data are presented as the median with the range from the 2.5th to 97.5th percentile of 1000 bootstrap samples shown in parentheses.
DOI: 10.15468/dl.bvwxv8
title: Occurrence Download

description: A dataset containing 20088 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cinnamomum camphora (L.) J.Presl"
 ]
}

 The dataset includes 20088 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002476-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwp7d4
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Abies religiosa (Kunth) Schltdl. & Cham.",
 "Year 2000-2019"
 ]
}

 The dataset includes 314 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002478-250221090833381/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.28466663
title: Data from: Going with the flow: leveraging reef-scale hydrodynamics for upscaling larval-based restoration

description: <br>Following the Methods section of the manuscript: "Going with the flow: leveraging reef-scale hydrodynamics for upscaling larval-based restoration"Data are organized into subfolders corresponding to the subsections and are further detailed below:<br><b>Subsection: Model validation approach and assessment of localized current variability</b> <b>Data Subfolder</b>: Model_Drifter_Data Drifter track data as .csv files Particle track data as .csv files and .json files Track analysis data as .csv files <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data .csv file with current velocity data from the tilt current meter (u_f, v_f) and from the nearest model cell (u_m, v_m) For all variables, _f corresponds to the tilt current meter, and _m corresponds to the model.<b>Subsection: Collection phase: predicting coral spawn slicks</b> <b> Data Subfolder</b>: ModellingSlicks_dsp_RasterData Raster files data for each spawning simulation with and without surface wind forcing of 3% The .tiff output of each dispersal simulation was summed in QGIS for each scenario to represent the overall density of particles within the model domain during the 16-hour dispersal timeframe.<br><b>Subsection: Larval delivery phase: predicting the residency of particles over damaged reefs</b> <b>Data Subfolder</b>: ParticlesResidencyOutput_Data Following the workflow detailed at https://doi.org/10.5281/zenodo.14759539 to extract spatio-temporal data of particles within 1 hectare of delivery sites Each .csv file shows spatio-temporal data of all the particles that remained within 1 hectare of a specific delivery location at a specific delivery time and day.<b>Subsection: Larval delivery phase: a posteriori in situ current speed conditions</b> <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data Same dataset as in the first subsection, using tilt current meter data.
DOI: 10.6084/m9.figshare.28466663.v1
title: Data_Gouezo_etal._EcolApp_Figshare.zip

description: <br>Following the Methods section of the manuscript: "Going with the flow: leveraging reef-scale hydrodynamics for upscaling larval-based restoration"Data are organized into subfolders corresponding to the subsections and are further detailed below:<br><b>Subsection: Model validation approach and assessment of localized current variability</b> <b>Data Subfolder</b>: Model_Drifter_Data Drifter track data as .csv files Particle track data as .csv files and .json files Track analysis data as .csv files <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data .csv file with current velocity data from the tilt current meter (u_f, v_f) and from the nearest model cell (u_m, v_m) For all variables, _f corresponds to the tilt current meter, and _m corresponds to the model.<b>Subsection: Collection phase: predicting coral spawn slicks</b> <b> Data Subfolder</b>: ModellingSlicks_dsp_RasterData Raster files data for each spawning simulation with and without surface wind forcing of 3% The .tiff output of each dispersal simulation was summed in QGIS for each scenario to represent the overall density of particles within the model domain during the 16-hour dispersal timeframe.<br><b>Subsection: Larval delivery phase: predicting the residency of particles over damaged reefs</b> <b>Data Subfolder</b>: ParticlesResidencyOutput_Data Following the workflow detailed at https://doi.org/10.5281/zenodo.14759539 to extract spatio-temporal data of particles within 1 hectare of delivery sites Each .csv file shows spatio-temporal data of all the particles that remained within 1 hectare of a specific delivery location at a specific delivery time and day.<b>Subsection: Larval delivery phase: a posteriori in situ current speed conditions</b> <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data Same dataset as in the first subsection, using tilt current meter data.
DOI: 10.15468/dl.pw5wgw
title: Occurrence Download

description: A dataset containing 11722 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diploderma Hallowell, 1861"
 ]
}

 The dataset includes 11722 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002477-250221090833381/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.28466906
title: Predicting Olympic Medal Tally: An XGBoost Model for Forecasting and Investment in Sports Development

description: We developed an XGBoost prediction model based on historical medal data, host country factors, participant numbers, and other non-economic variables. The model successfully forecasted Olympic medal totals from 1960 to 2024, achieving an outstanding performance with an NRMSE of ~0.05 and R² of ~0.9, outperforming Random Forest (RF) and Support Vector Machine (SVM) models. Using this model, we predicted the 2028 Olympic medal table and optimized it for countries that have never won medals, achieving an NRMSE of 0.0589 by incorporating the medal share of key nations. Our model also suggests a high probability (0.2655, odds: 2.77) that three countries will secure their first Olympic medal in 2028. Furthermore, we analyzed the "Great Coach Effect," identifying it as the most influential factor in medal success. Based on this, we highlighted three promising coaching investment opportunities. This model can also be utilized for calculating Olympic medal odds and guiding future investments in sports development.
DOI: 10.15468/dl.hpz3hm
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "TaxonKey is Solidago canadensis L."
 ]
}

 The dataset includes 153 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002479-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8mjdm
title: Occurrence Download

description: A dataset containing 4409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodomyrtus tomentosa (Aiton) Hassk."
 ]
}

 The dataset includes 4409 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002480-250221090833381/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.28466408
title: Metallothionein (MT) expression in eastern mosquitofish (<i>Gambusia holbrooki</i>) exposed to <sup>137</sup>Cs and lead

description: Dataset for "Metallothionein (MT) expression in eastern mosquitofish (<i>Gambusia holbrooki</i>) exposed to <sup>137</sup>Cs and lead: implications for using MT as a metal exposure biomarker"
DOI: 10.15468/dl.s6emf7
title: Occurrence Download

description: A dataset containing 1329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Burmannia disticha L."
 ]
}

 The dataset includes 1329 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002481-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmqxe5
title: Occurrence Download

description: A dataset containing 1209 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo flora y fauna altillanura Campo Guatiquia (Meta)"
 ]
}

 The dataset includes 1209 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002482-250221090833381/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.28466852
title: <b>Increasing ECM tree dominance enhances </b><b>soil </b><b>lignin </b><b>phenols </b><b>but suppresses microbial necromass contribution to soil organic carbon in a subtropical </b><b>mountainous forest</b>

description: Arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM)plants exhibit distinct litter quality characteristics and nutrient uptake strategies that critically influence soil carbon and nitrogen cycling. However, the effect of mycorrhizal type on soil organic carbon (SOC) accumulation remains unclear, particularly in tropical and subtropical forests. To address this knowledge gap, this study quantified the SOC content and its components across a gradient of ECM tree dominance (ECM%, defined as the proportion of ECM tree basal area relative to the all trees) in a subtropical mountainous forest. Lignin phenols and amino sugars were used as indicators of plant- and microbial-derived C in the soil, respectively. Plant, soil, and microbial properties were analyzed to explore the underlying mechanisms influencing SOC components across different mycorrhizal types. Our results indicated that ECM% did not affect SOC content but significantly altered SOC composition. Specifically, a higher ECM% promoted accumulation of plant-derived C and reduced microbial-derived C. The increase in plant-derived C accumulation with ECM% was primarily owing to lower litter quality and higher C inputs from litter and fine roots. Conversely, microbial-derived C accumulation decreased with ECM%, primarily because of the lower metabolic efficiency and higher degradation rate of microbial necromass, as indicated by metabolic quotient and extracellular enzyme activities, respectively. Overall, these findings improve existing understanding of the mechanisms underlying SOC formation and decomposition along the gradient of ECM tree dominance, providing valuable insights into the potential vulnerability of SOC to the expansion of AM trees driven by global changes
DOI: 10.6084/m9.figshare.28466852.v1
title: <b>Increasing ECM tree dominance enhances </b><b>soil </b><b>lignin </b><b>phenols </b><b>but suppresses microbial necromass contribution to soil organic carbon in a subtropical </b><b>mountainous forest</b>

description: Arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM)plants exhibit distinct litter quality characteristics and nutrient uptake strategies that critically influence soil carbon and nitrogen cycling. However, the effect of mycorrhizal type on soil organic carbon (SOC) accumulation remains unclear, particularly in tropical and subtropical forests. To address this knowledge gap, this study quantified the SOC content and its components across a gradient of ECM tree dominance (ECM%, defined as the proportion of ECM tree basal area relative to the all trees) in a subtropical mountainous forest. Lignin phenols and amino sugars were used as indicators of plant- and microbial-derived C in the soil, respectively. Plant, soil, and microbial properties were analyzed to explore the underlying mechanisms influencing SOC components across different mycorrhizal types. Our results indicated that ECM% did not affect SOC content but significantly altered SOC composition. Specifically, a higher ECM% promoted accumulation of plant-derived C and reduced microbial-derived C. The increase in plant-derived C accumulation with ECM% was primarily owing to lower litter quality and higher C inputs from litter and fine roots. Conversely, microbial-derived C accumulation decreased with ECM%, primarily because of the lower metabolic efficiency and higher degradation rate of microbial necromass, as indicated by metabolic quotient and extracellular enzyme activities, respectively. Overall, these findings improve existing understanding of the mechanisms underlying SOC formation and decomposition along the gradient of ECM tree dominance, providing valuable insights into the potential vulnerability of SOC to the expansion of AM trees driven by global changes
DOI: 10.25549/pcra-c14-230894
title: The Science of Saints, 1931, vol, 2, no. 7-8 = Ştiinţa Sfinţilor, 1931, anul II, nr 7-8

description: [description english/roman)] The Science of Saints is a periodical publication who contain biblical lessons, published by the biggest romanian penticostal group between 1930&1931.