cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26106541
title: Supplementary Material for: Enhanced Survival of Chronic Myelomonocytic Leukemia (CMML)-Dysplastic over Proliferative Subtype After Allogeneic Hematopoietic Cell Transplant: A Tertiary Center Experience and Literature Review

description: INTRODUCTION
CMML is a rare neoplasm with overlapping myelodysplastic and myeloproliferative features whose only potential cure is allogeneic hematopoietic cell transplantation (allo-HCT). 

METHODS
This retrospective study examined 27 CMML patients with high-risk clinical features who underwent first allo-HCT at our institution between 2004 and 2022. 

RESULTS
19 patients were diagnosed with the proliferative subtype (CMML-MPN), and 8 with the dysplastic subtype (CMML-MDS). Median OS was 15 months post-HCT (95% CI: 5-71); OS at 1, 3, and 5 years was 52%, 35%, and 35%, respectively. Compared to those with CMML-MPN, patients with CMML-MDS had longer OS (median, 8.6 vs 0.9 years; P=0.025), RFS (4.4 vs 0.5 years; P=0.021), and GVHD-free, relapse-free survival (GRFS, 9.4 vs 3.4 months; P=0.033) as well as lower 1-year NRM (13% vs 47%; P=0.043), with the statistical significance of this CMML subtype effect maintained in multivariable models. High-risk cytogenetics were associated with shorter GRFS in the univariable (median, 3.1 vs 6.2 months; P=0.013) and multivariable (HR=4.88; P=0.006) settings.

CONCLUSIONS
Patients who underwent transplant for CMML-MDS experienced substantially better outcomes than those transplanted for CMML-MPN. Future studies are needed for transplantation optimization in CMML, especially CMML-MPN.
DOI: 10.6084/m9.figshare.26106541.v1
title: Supplementary Material for: Enhanced Survival of Chronic Myelomonocytic Leukemia (CMML)-Dysplastic over Proliferative Subtype After Allogeneic Hematopoietic Cell Transplant: A Tertiary Center Experience and Literature Review

description: INTRODUCTION
CMML is a rare neoplasm with overlapping myelodysplastic and myeloproliferative features whose only potential cure is allogeneic hematopoietic cell transplantation (allo-HCT). 

METHODS
This retrospective study examined 27 CMML patients with high-risk clinical features who underwent first allo-HCT at our institution between 2004 and 2022. 

RESULTS
19 patients were diagnosed with the proliferative subtype (CMML-MPN), and 8 with the dysplastic subtype (CMML-MDS). Median OS was 15 months post-HCT (95% CI: 5-71); OS at 1, 3, and 5 years was 52%, 35%, and 35%, respectively. Compared to those with CMML-MPN, patients with CMML-MDS had longer OS (median, 8.6 vs 0.9 years; P=0.025), RFS (4.4 vs 0.5 years; P=0.021), and GVHD-free, relapse-free survival (GRFS, 9.4 vs 3.4 months; P=0.033) as well as lower 1-year NRM (13% vs 47%; P=0.043), with the statistical significance of this CMML subtype effect maintained in multivariable models. High-risk cytogenetics were associated with shorter GRFS in the univariable (median, 3.1 vs 6.2 months; P=0.013) and multivariable (HR=4.88; P=0.006) settings.

CONCLUSIONS
Patients who underwent transplant for CMML-MDS experienced substantially better outcomes than those transplanted for CMML-MPN. Future studies are needed for transplantation optimization in CMML, especially CMML-MPN.
DOI: 10.15468/dl.5tb2p4
title: Occurrence Download

description: A dataset containing 35125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptinotarsa decemlineata (Say, 1824)"
 ]
}

 The dataset includes 35125 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000039-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12545277
title: Data to https://github.com/paulienvoorter/IVIM-DTI-NET

description: These are the data that belong to https://github.com/paulienvoorter/IVIM-DTI-NET.
DOI: 10.5281/zenodo.12545278
title: Data to https://github.com/paulienvoorter/IVIM-DTI-NET

description: These are the data that belong to https://github.com/paulienvoorter/IVIM-DTI-NET.
DOI: 10.5281/zenodo.12547423
title: db Tetto Frati 1992-2022

description: 0N crop uptake, soil C N and climate at Tetto Frati 1992-2022
DOI: 10.5281/zenodo.12547424
title: db Tetto Frati 1992-2022

description: 0N crop uptake, soil C N and climate at Tetto Frati 1992-2022
DOI: 10.5281/zenodo.12533018
title: Bark beetle predictive model results (FirEUrisk)

description: This datasets contains three products developed within the FirEUrisk project. FirEUrisk is funded by the European Union as part of the Horizon 2020 framework program (Grant Agreement No. 101003890). It is focused on evaluating and promoting an integrated science-based strategy to improve forest fire risk assessments in Europe

FirEUrisk_BarkBeetleAttackPredic_50m_DE.CZ.PL_20240126_V01.tif

This product shows the probability of a bark beetle (Ips typographus) attack between September 2020 and October 2021. The assessment includes a set of risk factors that predispose forests to pest infestations and wildfires propagation for the FirEUrisk Central-Eastern Europe Pilot Site. This technological solution aims to identify areas prone to a bark beetle infestation using Earth Observation data and machine learning techniques. The geospatial results are provided in raster format (.tiff) to help managers optimise their resources and mitigate the negative effects of plagues. The results indicate the probability of a bark beetle attack, being ranged from 0 to 100.

    FirEUrisk_BarkBeetleDamage_10m_DE.CZ.PL_20240126_V01.tif

This product contains an estimate of the real bark beetle damage between September 2020 and October 2021. This estimate was derived from Sentinel-2 imagery and was used as target to train the predictive model.

    FirEUrisk_SpruceClassification_10m_DE.CZ.PL_20240126_V01.tif

This product contains a classification of spruce (Picea abies) area for September 2020. It was derived from Sentinel-2 imagery and used as input for the estimation of bark beetle damage and the predictive model.
DOI: 10.5281/zenodo.12533017
title: Bark beetle predictive model results (FirEUrisk)

description: This datasets contains three products developed within the FirEUrisk project. FirEUrisk is funded by the European Union as part of the Horizon 2020 framework program (Grant Agreement No. 101003890). It is focused on evaluating and promoting an integrated science-based strategy to improve forest fire risk assessments in Europe

FirEUrisk_BarkBeetleAttackPredic_50m_DE.CZ.PL_20240126_V01.tif

This product shows the probability of a bark beetle (Ips typographus) attack between September 2020 and October 2021. The assessment includes a set of risk factors that predispose forests to pest infestations and wildfires propagation for the FirEUrisk Central-Eastern Europe Pilot Site. This technological solution aims to identify areas prone to a bark beetle infestation using Earth Observation data and machine learning techniques. The geospatial results are provided in raster format (.tiff) to help managers optimise their resources and mitigate the negative effects of plagues. The results indicate the probability of a bark beetle attack, being ranged from 0 to 100.

    FirEUrisk_BarkBeetleDamage_10m_DE.CZ.PL_20240126_V01.tif

This product contains an estimate of the real bark beetle damage between September 2020 and October 2021. This estimate was derived from Sentinel-2 imagery and was used as target to train the predictive model.

    FirEUrisk_SpruceClassification_10m_DE.CZ.PL_20240126_V01.tif

This product contains a classification of spruce (Picea abies) area for September 2020. It was derived from Sentinel-2 imagery and used as input for the estimation of bark beetle damage and the predictive model.
DOI: 10.6084/m9.figshare.26106463
title: The 42 datasets and their test and training datasets

description: The 42 datasets and their test and training datasets.<b>*************************************************************</b>For detailed information, you may read the following article.<br><b>Y. Bitirim, "</b><b>Turkish-Tweet-based emoji recommendation for the top emojis</b><b>", Vol. XX, Issue. XX, Journal Name, pp. XX-XX, Date.</b><br><b>*************************************************************</b>If you want to use all or a part of these datasets, you are free to use. However, please consider the following.Copyright belongs to the author.Do not redistribute all or a part of these datasets.These datasets come without any warranty. The author is not responsible for any damage caused.All studies that include all or a part of these datasets should cite the following article:<br><b>Y. Bitirim, "</b><b>Turkish-Tweet-based emoji recommendation for the top emojis</b><b>", Vol. XX, Issue. XX, Journal Name, pp. XX-XX, Date.</b><br>
DOI: 10.6084/m9.figshare.26106463.v2
title: The 42 datasets and their test and training datasets

description: The 42 datasets and their test and training datasets.<b>*************************************************************</b>For detailed information, you may read the following article.<br><b>Y. Bitirim, "</b><b>Turkish-Tweet-based emoji recommendation for the top emojis</b><b>", Vol. XX, Issue. XX, Journal Name, pp. XX-XX, Date.</b><br><b>*************************************************************</b>If you want to use all or a part of these datasets, you are free to use. However, please consider the following.Copyright belongs to the author.Do not redistribute all or a part of these datasets.These datasets come without any warranty. The author is not responsible for any damage caused.All studies that include all or a part of these datasets should cite the following article:<br><b>Y. Bitirim, "</b><b>Turkish-Tweet-based emoji recommendation for the top emojis</b><b>", Vol. XX, Issue. XX, Journal Name, pp. XX-XX, Date.</b><br>
DOI: 10.6084/m9.figshare.26106463.v1
title: The 42 datasets and their test and training datasets

description: The 42 datasets and their test and training datasets.<b>*************************************************************</b>For detailed information, you may read the following article.<br><b>Y. Bitirim, "</b><b>Turkish-Tweet-based emoji recommendation for the top emojis</b><b>", Vol. XX, Issue. XX, Journal Name, pp. XX-XX, Date.</b><br><b>*************************************************************</b>If you want to use all or a part of these datasets, you are free to use. However, please consider the following.Copyright belongs to the author.Do not redistribute all or a part of these datasets.These datasets come without any warranty. The author is not responsible for any damage caused.All studies that include all or a part of these datasets should cite the following article:<br><b>Y. Bitirim, "</b><b>Turkish-Tweet-based emoji recommendation for the top emojis</b><b>", Vol. XX, Issue. XX, Journal Name, pp. XX-XX, Date.</b><br>
DOI: 10.26180/24080646.v2
title: Forecasting potential invaders to prevent future biological invasions worldwide, Supporting Information S1

description: Forecasting potential invaders to prevent future biological invasions worldwide, Supporting Information S1## Research rationaleThe ever-increasing and expanding globalisation of trade and transport underpins the escalating global problem of biological invasions. Developing biosecurity infrastructures is crucial to anticipate and prevent the transport and introduction of invasive alien species, but robust and defensible forecasts of potential invaders, especially species worldwide with no invasion history, are rare.<br>## The toolHere, we aim to support decision-making by developing a quantitative invasion risk assessment tool based on invasion syndromes (i.e. attributes of a typical invasive alien species). We implemented a multiple imputation with chain equation workflow to estimate invasion syndromes from imputed datasets of species’ life-history and ecological traits (e.g., body size, reproductive traits, microhabitat) and macroecological patterns (e.g., geographic range size, commonness, habitat generalism, tolerance to disturbance).<br>The tool is run under R computing program. And this repository contains the R scripts and sample files to run the tool.<br>The description and application of tool can be read in full in Pili et al. (2024 -- Global Change Biology). The project repository containing the R code to run our quantitative invasion risk assessment tool can be accessed in: https://github.com/armanpili/ForecastingInvadersContained herein are the associated data of the project.<br>Tabl_S1_1.csv — Unintentionally transported and introduced amphibians and reptilesTableS1_2_1.csv — Life-history and ecological traits and macroecological patterns of frogs used in multiple imputation. This is a subset of the global amphibian dataset, reduced to contain a maximum of 60% data missingness in columns (variables) and rows (species).TableS1_2_2.csv — Life-history and ecological traits and macroecological patterns of lizards used in multiple imputation. This is a subset of the global saurian reptile dataset, reduced to contain a maximum of 60% data missingness in columns (variables) and rows (species).TableS1_2_3.csv — Life-history and ecological traits and macroecological patterns of snakes used in multiple imputation. This is a subset of the global serpentine reptile dataset, reduced to contain a maximum of 60% data missingness in columns (variables) and rows (species).TableS1_3.csv — Evaluation scores of random forest models fitted with life-history and ecological traits, macroecological patterns, life-history and ecological traits and macroecological patterns, and optimal subset of life-history and ecological traits and macroecological patterns.Table S1_4.csv — Predicted risk scores of unintentional transport, introduction, and establishment of frogs, lizards, and snakes.<br><br><br>
DOI: 10.48597/trej-83sw
title: Measurement of Inorganics in air and particle phase at Jungfraujoch

description: Measurement of Inorganics in air and particle phase at Jungfraujoch
DOI: 10.48597/zmzh-rkew
title: Measurement of Inorganics in air and particle phase at Jungfraujoch

description: Measurement of Inorganics in air and particle phase at Jungfraujoch
DOI: 10.48597/rvuh-rxxu
title: Measurement of Inorganics in air and particle phase at Jungfraujoch

description: Measurement of Inorganics in air and particle phase at Jungfraujoch
DOI: 10.15468/dl.rgtyra
title: Occurrence Download

description: A dataset containing 5423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.29670 24.68629,-58.70330 24.68629,-58.70330 47.31371,-115.29670 47.31371,-115.29670 24.68629))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptilothrix bombiformis (Cresson, 1879)",
 "Year 1903-2024"
 ]
}

 The dataset includes 5423 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000045-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10959980
title: The Fagradalsfjall and Sundhnúkur Fires of 2021-2024: a single magma reservoir under the Reykjanes Peninsula, Iceland?

description: Original data presented in Excel format to accompany the paper "The Fagradalsfjall and Sundhnúkur Fires of 2021-2024: a single magma reservoir under the Reykjanes Peninsula, Iceland?" by Troll et al. (2024), published in Terra Nova.

The file contains whole-rock major and trace element data and trace element data in olivine from a suite of lavas erupted during the 2021-2023 CE eruptions on the Reykjanes Peninsula, Iceland.  

Link to the accompanying article: https://doi.org/10.1111/ter.12733
DOI: 10.5281/zenodo.10959981
title: The Fagradalsfjall and Sundhnúkur Fires of 2021-2024: a single magma reservoir under the Reykjanes Peninsula, Iceland?

description: Original data presented in Excel format to accompany the paper "The Fagradalsfjall and Sundhnúkur Fires of 2021-2024: a single magma reservoir under the Reykjanes Peninsula, Iceland?" by Troll et al. (2024), published in Terra Nova.

The file contains whole-rock major and trace element data and trace element data in olivine from a suite of lavas erupted during the 2021-2023 CE eruptions on the Reykjanes Peninsula, Iceland.  

Link to the accompanying article: https://doi.org/10.1111/ter.12733
DOI: 10.15468/dl.cr8kp8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ceratozamia brevifrons Miq."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000046-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sswr86
title: Occurrence Download

description: A dataset containing 5012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calyptraea chinensis (Linnaeus, 1758), Calyptraea conica Broderip, 1834, Calyptraea fastigata, Calyptraea mamillaris Broderip, 1834, Calyptraea pellucida (Reeve, 1859))",
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5012 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008905-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t9afz
title: Occurrence Download

description: A dataset containing 2991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Tetheella fluctuosa (Hübner, 1803)"
 ]
}

 The dataset includes 2991 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008906-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz3pvq
title: Occurrence Download

description: A dataset containing 770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Coleophora deauratella Zeller, 1846"
 ]
}

 The dataset includes 770 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008907-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15313358
title: Independent Whole-Genome Duplications Define the Architecture of the Genomes of the Devastating West African Cacao Black Pod Pathogen Phytophthora megakarya and Its Close Relative Phytophthora palmivora

description: Phytophthora megakarya and P. palmivora are oomycete pathogens that cause black pod rot of cacao (Theobroma cacao), the most economically important disease on cacao globally. While P. palmivora is a cosmopolitan pathogen, P. megakarya, which is more aggressive on cacao than P. palmivora, has been reported only in West and Central Africa where it has been spreading and devastating cacao farms since the 1950s. In this study, we reconstructed the complete  genomes of multiple isolates of both species using single-molecule real-time sequencing and demonstrated that both species underwent independent and relatively recent WGD events. In P. megakarya we identified a unique combination of WGD and large-scale transposable element driven genome expansion, which places this genome in the upper range of Phytophthora genome sizes, as well as effector pools with 1,382 predicted RxLR effectors. Finally, this study provides evidence of adaptive evolution of effectors like RxLRs and Crinklers, and discusses the implications of effector expansion and diversification.
DOI: 10.5281/zenodo.15313359
title: Independent Whole-Genome Duplications Define the Architecture of the Genomes of the Devastating West African Cacao Black Pod Pathogen Phytophthora megakarya and Its Close Relative Phytophthora palmivora

description: Phytophthora megakarya and P. palmivora are oomycete pathogens that cause black pod rot of cacao (Theobroma cacao), the most economically important disease on cacao globally. While P. palmivora is a cosmopolitan pathogen, P. megakarya, which is more aggressive on cacao than P. palmivora, has been reported only in West and Central Africa where it has been spreading and devastating cacao farms since the 1950s. In this study, we reconstructed the complete  genomes of multiple isolates of both species using single-molecule real-time sequencing and demonstrated that both species underwent independent and relatively recent WGD events. In P. megakarya we identified a unique combination of WGD and large-scale transposable element driven genome expansion, which places this genome in the upper range of Phytophthora genome sizes, as well as effector pools with 1,382 predicted RxLR effectors. Finally, this study provides evidence of adaptive evolution of effectors like RxLRs and Crinklers, and discusses the implications of effector expansion and diversification.
DOI: 10.15468/dl.dg4n89
title: Occurrence Download

description: A dataset containing 2121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pollenia labialis Robineau-Desvoidy, 1863"
 ]
}

 The dataset includes 2121 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008908-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrz6qs
title: Occurrence Download

description: A dataset containing 83578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachnida",
 "Year is 1995"
 ]
}

 The dataset includes 83578 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008903-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wc7bnp
title: Occurrence Download

description: A dataset containing 4209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Orgyia antiqua (Linnaeus, 1758)"
 ]
}

 The dataset includes 4209 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008909-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.