cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11354666
title: Dataset Expanding the Pseudomonas diversity of the wheat rhizosphere: four novel species antagonizing fungal phytopathogens and with plant-beneficial properties

description: This dataset is related to the study "Expanding the Pseudomonas diversity of the wheat rhizosphere: four novel species antagonizing fungal phytopathogens and with plant-beneficial properties" (Poli et al., 2024, doi: 10.3389/fmicb.2024.1440341) and contains the raw data described therein. Specifically, the dataset contains the growth-promotion of wheat plants upon inoculation with four novel Pseudomonas species type strains, as well as the ability of the four strains to antagonize three fungal phytopathogens. 

The complete genome sequences of the four novel Pseudomonas species type strains have been deposited in the NCBI under the BioProject number PRJNA1095474.
DOI: 10.5281/zenodo.11354667
title: Dataset Expanding the Pseudomonas diversity of the wheat rhizosphere: four novel species antagonizing fungal phytopathogens and with plant-beneficial properties

description: This dataset is related to the study "Expanding the Pseudomonas diversity of the wheat rhizosphere: four novel species antagonizing fungal phytopathogens and with plant-beneficial properties" (Poli et al., 2024, doi: 10.3389/fmicb.2024.1440341) and contains the raw data described therein. Specifically, the dataset contains the growth-promotion of wheat plants upon inoculation with four novel Pseudomonas species type strains, as well as the ability of the four strains to antagonize three fungal phytopathogens. 

The complete genome sequences of the four novel Pseudomonas species type strains have been deposited in the NCBI under the BioProject number PRJNA1095474.
DOI: 10.15468/dl.tqqajs
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plectranthus esculentus N.E.Br."
 ]
}

 The dataset includes 93 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024820-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vycujn
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhodosphaera rhodanthema (F.Muell.) Engl."
 ]
}

 The dataset includes 718 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024821-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8959281
title: ESG Ratings and Stock Data for Dow 30 Companies
DOI: 10.15468/dl.knnhz2
title: Occurrence Download

description: A dataset containing 800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.12.1_1",
 "TaxonKey is Sorbus aucuparia L."
 ]
}

 The dataset includes 800 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024822-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.hih9k8zu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7762563
title: EO4WildFires: An Earth Observation multi-sensor, time-series machine-learning-ready benchmark dataset for wildfire impact prediction

description: This paper presents a benchmark dataset called EO4WildFires; a multi-sensor (multi spectral; Sentinel-2, Synthetic-Aperture Radar - SAR; Sentinel-1, meteorological parameters; NASA Power) time-series dataset that spans 45 countries, which can be used for developing machine learning and deep learning methods targeted for the estimation of the area that a forest wildfire might cover.


This novel EO4WildFires dataset is annotated using EFFIS (European Forest Fire Information System) as forest fire detection and size estimation data source. A total of 31,742 wildfire events are gathered from 2018 to 2022. For each event, Sentinel-2 (multispectral), Sentinel-1 (SAR) and meteorological data are assembled into a single data cube. The meteorological parameters that are included in the data cube are: ratio of actual partial pressure of water vapor to the partial pressure at saturation, average temperature, bias corrected average total precipitation, average wind speed, fraction of land covered by snowfall, percent of root zone soil wetness, snow depth, snow precipitation, as well as percent of soil moisture.


The main problem that this dataset is designed to address, is the severity forecasting before wildfires occur. The dataset is not used to predict wildfire events, but rather to predict the severity (size of area damaged by fire) of a wildfire event, if that happens in a specific place under the current and historical forest status, as recorded from multispectral and SAR images, and meteorological data.


Using the data cube for the collected wildfire events, the EO4WildFires dataset is used to realize three (3) different preliminary experiments, in order to evaluate the contributing factors for wildfire severity prediction. The first experiment evaluates wildfire size using only the meteorological parameters, the second one utilizes both the multispectral and SAR parts of the dataset, while the third exploits all dataset parts. In each experiment, machine learning models are developed, and their accuracy is evaluated.
DOI: 10.5281/zenodo.7762564
title: EO4WildFires: An Earth Observation multi-sensor, time-series machine-learning-ready benchmark dataset for wildfire impact prediction

description: This paper presents a benchmark dataset called EO4WildFires; a multi-sensor (multi spectral; Sentinel-2, Synthetic-Aperture Radar - SAR; Sentinel-1, meteorological parameters; NASA Power) time-series dataset that spans 45 countries, which can be used for developing machine learning and deep learning methods targeted for the estimation of the area that a forest wildfire might cover.


This novel EO4WildFires dataset is annotated using EFFIS (European Forest Fire Information System) as forest fire detection and size estimation data source. A total of 31,742 wildfire events are gathered from 2018 to 2022. For each event, Sentinel-2 (multispectral), Sentinel-1 (SAR) and meteorological data are assembled into a single data cube. The meteorological parameters that are included in the data cube are: ratio of actual partial pressure of water vapor to the partial pressure at saturation, average temperature, bias corrected average total precipitation, average wind speed, fraction of land covered by snowfall, percent of root zone soil wetness, snow depth, snow precipitation, as well as percent of soil moisture.


The main problem that this dataset is designed to address, is the severity forecasting before wildfires occur. The dataset is not used to predict wildfire events, but rather to predict the severity (size of area damaged by fire) of a wildfire event, if that happens in a specific place under the current and historical forest status, as recorded from multispectral and SAR images, and meteorological data.


Using the data cube for the collected wildfire events, the EO4WildFires dataset is used to realize three (3) different preliminary experiments, in order to evaluate the contributing factors for wildfire severity prediction. The first experiment evaluates wildfire size using only the meteorological parameters, the second one utilizes both the multispectral and SAR parts of the dataset, while the third exploits all dataset parts. In each experiment, machine learning models are developed, and their accuracy is evaluated.
DOI: 10.15468/dl.yj35fk
title: Occurrence Download

description: A dataset containing 8129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pueraria montana var. lobata (Willd.) Maesen & S.M.Almeida ex Sanjappa & Predeep"
 ]
}

 The dataset includes 8129 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024823-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8960365
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.j5p97v
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptychosperma macarthurii (H.Wendl. ex H.J.Veitch) H.Wendl. ex Hook.f."
 ]
}

 The dataset includes 428 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024824-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11547654
title: Supporting Data for "Coccolithophore Assemblage Response to Indian Monsoon-ENSO Teleconnections During the Last Century" - AGU Paleoceanography and Paleoclimatology

description: Data (Tables S1-S3) supporting the manuscript "Coccolithophore Assemblage Response to Indian Monsoon-ENSO Teleconnections During the Last Century". Files are uploaded as .csv format. Below are descriptions of the data generated from this study. In Table S1, the thickness data of von Rad et al. (1999), publicly available in PANGAEA, were used to construct the revised core composite stratigraphy for Core SO90-39KG. Please refer to the manuscript for details of the referenced publication.

 




Table
Table Description


S1
Revised composite stratigraphy of core SO90-39KG.


S2
Raw count data of all coccolithophore species identified in sediment samples in core SO90-39KG.


S3
Relative abundance data of all coccolithophore species identified in sediment samples in core SO90-39KG.
DOI: 10.15468/dl.6nnrze
title: Occurrence Download

description: A dataset containing 6812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Colombia, Ecuador, Peru, Venezuela (Bolivarian Republic of), Bolivia (Plurinational State of), Paraguay)",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Tropicos Specimens Non-MO, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), Segundo censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), RB - Rio de Janeiro Botanical Garden Herbarium Collection, NMNH Extant Specimen Records (USNM, US), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Field Museum of Natural History (Botany) Seed Plant Collection)",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chloranthaceae"
 ]
}

 The dataset includes 6812 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024826-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex22zq
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptychosperma elegans (R.Br.) Blume"
 ]
}

 The dataset includes 369 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024827-240626123714530/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.26305090
title: SNP - Genotyping

description: A study on the correlation between the effect of caffeine citrate in the treatment of apnea of prematurity and polymorphisms of the PER and CRY gene.
DOI: 10.6084/m9.figshare.26305090.v1
title: SNP - Genotyping

description: A study on the correlation between the effect of caffeine citrate in the treatment of apnea of prematurity and polymorphisms of the PER and CRY gene.
DOI: 10.25574/01152
title: Chandra X-ray Observatory ObsId 01152
DOI: 10.15468/dl.e366dp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lontra canadensis (Schreber, 1777)"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024828-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyv3tz
title: Occurrence Download

description: A dataset containing 122348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.64907 18.90171,-98.6353 18.99815,-98.62812 19.10364,-98.65183 19.2559,-98.95517 19.31885,-99.02204 19.24915,-98.94512 19.15063,-98.95199 19.00435,-98.84268 18.95218,-98.74376 18.88156,-98.64907 18.90171))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 122348 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024825-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12726884
title: Exo-Chirality of the α-Helix

description: UV, CD, MS, and Molecular dynamics simulations raw data from all peptide sequences.
DOI: 10.5281/zenodo.7144044
title: Exo-Chirality of the α-Helix

description: UV, CD, MS, and Molecular dynamics simulations raw data from all peptide sequences.
DOI: 10.15468/dl.vq7rcn
title: Occurrence Download

description: A dataset containing 977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prostanthera ovalifolia R.Br."
 ]
}

 The dataset includes 977 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024829-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10019920
title: An Edge-Coupled Magnetostatic Bandpass Filter

description: Corresponding dataset to  "An Edge-Coupled Magnetostatic Bandpass Filter" paper.
DOI: 10.5281/zenodo.10019919
title: An Edge-Coupled Magnetostatic Bandpass Filter

description: Corresponding dataset to  "An Edge-Coupled Magnetostatic Bandpass Filter" paper.
DOI: 10.5281/zenodo.12744903
title: An Edge-Coupled Magnetostatic Bandpass Filter

description: Corresponding dataset to  "An Edge-Coupled Magnetostatic Bandpass Filter" paper.
DOI: 10.15468/dl.erdrrx
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plectranthus esculentus N.E.Br."
 ]
}

 The dataset includes 93 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024830-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9aa3z
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.37901 13.87974,-87.11147 14.66745,-82.91946 14.14132,-83.01246 15.71773,-84.95256 16.50545,-86.99478 16.25746,-88.20552 18.70812,-90.97709 17.89123,-91.54599 17.23481,-90.37901 13.87974))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ara ambiguus (Bechstein, 1811)",
 "Year 2000-2024"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024831-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12095572
title: Fire Weather Index for Europe from Downscaled and Bias-Corrected CMIP6 Model Outputs

description: This dataset contains the Canadian Forest Fire Weather Index (FWI) calculated from six downscaled and bias-corrected CMIP6 model outputs. The models included are:



ACCESS-CM2 (Ziehn et al. 2020)

CanESM5 (Swart et al. 2019)

CNRM-ESM2-1 (Séférian et al. 2019)

EC-EARTH3 (EC-Earth Consortium 2019)

MPI-ESM1-2-HR (von Storch et al. 2017)

MRI-ESM2-0 (Yukimoto et al. 2019)


The dataset encompasses four Shared Socio-economic Pathway (SSP) projections:



SSP1-2.6

SSP2-4.5

SSP3-7.0

SSP5-8.5


Each model output has been downscaled to a resolution of 0.0703135°, corresponding to approximately 9km×9km grids before the FWI calculation. The data covers Europe spatially and temporally spans from 1950 to 2080, offering comprehensive insights into past, present, and future fire weather conditions.

This dataset supports the manuscript titled "The fire weather in Europe: large-scale trends towards higher danger" by Hetzer et al., currently under review in ERL. Detailed instructions for accessing the data can be found in the included README file. 

Note: Downloads are password protected. Please use "FWI_2024" for access.  

Funding: The authors acknowledge the financial support of the European Union’s Horizon 2020 research and innovation action for the FirEUrisk project under grant agreement ID: 101003890.
DOI: 10.5281/zenodo.12095573
title: Fire Weather Index for Europe from Downscaled and Bias-Corrected CMIP6 Model Outputs

description: This dataset contains the Canadian Forest Fire Weather Index (FWI) calculated from six downscaled and bias-corrected CMIP6 model outputs. The models included are:



ACCESS-CM2 (Ziehn et al. 2020)

CanESM5 (Swart et al. 2019)

CNRM-ESM2-1 (Séférian et al. 2019)

EC-EARTH3 (EC-Earth Consortium 2019)

MPI-ESM1-2-HR (von Storch et al. 2017)

MRI-ESM2-0 (Yukimoto et al. 2019)


The dataset encompasses four Shared Socio-economic Pathway (SSP) projections:



SSP1-2.6

SSP2-4.5

SSP3-7.0

SSP5-8.5


Each model output has been downscaled to a resolution of 0.0703135°, corresponding to approximately 9km×9km grids before the FWI calculation. The data covers Europe spatially and temporally spans from 1950 to 2080, offering comprehensive insights into past, present, and future fire weather conditions.

This dataset supports the manuscript titled "The fire weather in Europe: large-scale trends towards higher danger" by Hetzer et al., currently under review in ERL. Detailed instructions for accessing the data can be found in the included README file. 

Note: Downloads are password protected. Please use "FWI_2024" for access.  

Funding: The authors acknowledge the financial support of the European Union’s Horizon 2020 research and innovation action for the FirEUrisk project under grant agreement ID: 101003890.
DOI: 10.15468/dl.2hy3ak
title: Occurrence Download

description: A dataset containing 4380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pongamia pinnata (L.) Pierre"
 ]
}

 The dataset includes 4380 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024832-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5j38kv6p
title: MassIVE MSV000095338 - CCDC32 stabilizes clathrin-coated pits and drives their invagination
title: 899685-899687: use GFP-nAb to co-IP from naive ARPE-HPV cells; 899688-899690: use GFP-nAb to co-IP from ARPE-HPV cells that stably express AP2-Alpha-eGFP.
DOI: 10.17192/txxq-5b66
title: Structural reflection data (.mtz) of soaked Sudan virus VP40 crystals
DOI: 10.6084/m9.figshare.26305120
title: SNP Genotyping.xlsx

description: A study on the correlation between the effect of caffeine citrate in the treatment of apnea of prematurity and polymorphisms of the PER and CRY gene.
DOI: 10.6084/m9.figshare.26305120.v1
title: SNP Genotyping.xlsx

description: A study on the correlation between the effect of caffeine citrate in the treatment of apnea of prematurity and polymorphisms of the PER and CRY gene.
DOI: 10.15468/dl.dm99u2
title: Occurrence Download

description: A dataset containing 1522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Podocarpus lawrencei Hook.f."
 ]
}

 The dataset includes 1522 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024833-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfcnq3
title: Occurrence Download

description: A dataset containing 974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.12.1_1",
 "TaxonKey is Crataegus monogyna Jacq."
 ]
}

 The dataset includes 974 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024834-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68szxd
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 730 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024837-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.