cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/vnp3-6396
title: pan-Arctic region 60-day forcast data and remote sensing ground truth

description: output mat: 60-day SR-SICFormer forecasting datalabel mat: 60-day remote sensing ground truthnan_mat: land-sea maskmaks: lat-lon maskThis study proposes a data-driven SR-SICFormer model combined with a ConIce loss function, aiming to address these issues mentioned above. SR-SICFormer is a novel Transformer-based model that combines image super-resolution reconstruction with spatiotemporal feature learning, enabling high-resolution daily SIC predictions for the next 15 days to 2 months. The ConIce loss function incorporates SIC conservation, correcting SIE and internal concentration predictions by integrating physical constraints from thermodynamic and dynamic sea ice processes. Compared to existing models, this approach performs excellently in fine-scale, long-term, extended-range daily SIC prediction. Furthermore, for the 60-day forecast task during the melting season, SR-SICFormer continues to perform exceptionally well.
DOI: 10.17632/6v88c4ggdd
title: The Development of a Flipped Learning Measurement Tool

description: The flipped learning measurement tool was developed in line with the four pillars and the definitions of the Flipped Learning Network (2014). Features from other studies were then added, especially ideas from those researchers who had pointed out the constraints of the traditional FLIP model. In total, 27 items were produced. With the help of a specialist in flipped learning and three independent practitioners, those elements were then refined and the content validity checked. A total of 257 undergraduates who took College English Reading courses in South Korea participated in the present study. These students were from a wide variety of majors. Their average age was 20 and the gender ratio was 38:62, male to female. English proficiency amongst the participants ranged from low intermediate to intermediate, based on their university entrance English exam scores. All of the classes were taught using flipped learning and they were all taught by the same teacher using the same syllabus. Each course lasted 15 weeks. Near the end of the semester, a survey was given to the students to complete. The close-ended survey used a 5-point Likert scale: 5 ‘Strongly Agree’; 4 ‘Agree’; 3 ‘Neutral’; 2 ‘Disagree’; 1 ‘Strongly Disagree.’
DOI: 10.15468/dl.gxcjyk
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.51923 -36.79899,-4.48077 -36.79899,-4.48077 2.79899,-103.51923 2.79899,-103.51923 -36.79899))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megaleporinus macrocephalus (Garavello & Britski, 1988)"
 ]
}

 The dataset includes 57 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051719-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwhph5
title: Occurrence Download

description: A dataset containing 2073291837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 2073291837 records from 29981 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051551-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bp5w5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lactuca perennis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006441-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17314899
title: Bromeliads as environmental pathogen reservoirs and disease dynamics of Batrachochytrium dendrobatidis in equatorial forests

description: This data was collected to evaluate the prevalence and infection intensity of the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) in amphibian communities and bromeliad tank reservoirs across seven sampling sites in Ecuador, along an elevational gradient.
DOI: 10.5281/zenodo.17314900
title: Bromeliads as environmental pathogen reservoirs and disease dynamics of Batrachochytrium dendrobatidis in equatorial forests

description: This data was collected to evaluate the prevalence and infection intensity of the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) in amphibian communities and bromeliad tank reservoirs across seven sampling sites in Ecuador, along an elevational gradient.
DOI: 10.15468/dl.my8erj
title: Occurrence Download

description: A dataset containing 5624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mus musculus",
 "HasCoordinate is true",
 "Country is Poland"
 ]
}

 The dataset includes 5624 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006442-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4k7qc
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mus musculus",
 "HasCoordinate is true",
 "Country is Czechia"
 ]
}

 The dataset includes 86 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006443-251009101135966/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/13325720
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tt4nqs
title: Occurrence Download

description: A dataset containing 1203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum fluviicola Steud.",
 "Continent is Africa"
 ]
}

 The dataset includes 1203 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005032-250402121839773/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.28199864
title: Variable Selection and Basis Learning for Ordinal Classification

description: We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, with the aim of identifying not only the variables relevant to discrimination but also the variables that are order-concordant with the responses. For this purpose, we compute for each variable an ordinal weight, where larger weights are given to variables with ordered group-means, and penalize the variables with smaller weights more severely. A two-step construction for ordinal weights is developed, and we show that the ordinal weights correctly separate ordinal variables from non-ordinal variables with high probability. The resulting sparse ordinal basis learning method is shown to consistently select either the discriminant variables or the ordinal and discriminant variables, depending on the choice of a tunable parameter. Such asymptotic guarantees are given under a high-dimensional asymptotic regime where the dimension grows much faster than the sample size. We also discuss a two-step procedure of post-screening ordinal variables among the selected discriminant variables. Simulated and real data analyses confirm that the proposed basis learning provides sparse and interpretable basis, as it mostly consists of ordinal variables. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.28199864.v2
title: Variable Selection and Basis Learning for Ordinal Classification

description: We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, with the aim of identifying not only the variables relevant to discrimination but also the variables that are order-concordant with the responses. For this purpose, we compute for each variable an ordinal weight, where larger weights are given to variables with ordered group-means, and penalize the variables with smaller weights more severely. A two-step construction for ordinal weights is developed, and we show that the ordinal weights correctly separate ordinal variables from non-ordinal variables with high probability. The resulting sparse ordinal basis learning method is shown to consistently select either the discriminant variables or the ordinal and discriminant variables, depending on the choice of a tunable parameter. Such asymptotic guarantees are given under a high-dimensional asymptotic regime where the dimension grows much faster than the sample size. We also discuss a two-step procedure of post-screening ordinal variables among the selected discriminant variables. Simulated and real data analyses confirm that the proposed basis learning provides sparse and interpretable basis, as it mostly consists of ordinal variables. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.28199864.v1
title: Variable selection and basis learning for ordinal classification

description: We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, with the aim of identifying not only the variables relevant to discrimination but also the variables that are order-concordant with the responses. For this purpose, we compute for each variable an ordinal weight, where larger weights are given to variables with ordered group-means, and penalize the variables with smaller weights more severely. A two-step construction for ordinal weights is developed, and we show that the ordinal weights correctly separate ordinal variables from non-ordinal variables with high probability. The resulting sparse ordinal basis learning method is shown to consistently select either the discriminant variables or the ordinal and discriminant variables, depending on the choice of a tunable parameter. Such asymptotic guarantees are given under a high-dimensional asymptotic regime where the dimension grows much faster than the sample size. We also discuss a two-step procedure of post-screening ordinal variables among the selected discriminant variables. Simulated and real data analyses confirm that the proposed basis learning provides sparse and interpretable basis, as it mostly consists of ordinal variables. Supplementary materials for this article are available online.
DOI: 10.15468/dl.twr4tx
title: Occurrence Download

description: A dataset containing 1916631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.8357 1.45608,-78.6205 1.30768,-78.47684 1.12813,-78.33317 1.21192,-78.22542 0.92464,-77.91414 0.79296,-77.44124 0.11935,-76.99415 0.24163,-76.75394 0.24163,-76.43788 0.15313,-76.36202 -0.00985,-76.21685 -0.00859,-75.91953 -0.11099,-75.81839 -0.24243,-75.43951 -0.38948,-74.92709 -0.22774,-75.07674 0.33932,-75.50795 0.82357,-75.62875 1.08999,-75.84996 1.17222,-75.97102 1.66149,-76.34996 2.17935,-76.43788 2.66941,-76.71602 2.85746,-76.56431 3.4129,-77.09529 3.6073,-77.47457 3.37742,-77.65157 3.22597,-77.72742 3.03661,-77.79064 2.78408,-77.95499 2.68306,-78.14463 2.59465,-78.49418 2.59133,-78.67562 2.21571,-78.72619 2.03884,-78.62505 1.95039,-78.61241 1.77349,-78.8779 1.83667,-78.9664 1.69767,-79.02329 1.58955,-78.8357 1.45608))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1916631 records from 615 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062119-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7cjpg
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Sesbania speciosa Taub.",
 "TaxonKey is Sesbania tomentosa Hook. & Arn.",
 "TaxonKey is Sesbania virgata (Cav.) Pers."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 456 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019930-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5x94zd
title: Occurrence Download

description: A dataset containing 106965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Year is 1988",
 "Country is Brazil"
 ]
}

 The dataset includes 106965 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178162-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i91ezf
title: Occurrence Download

description: A dataset containing 11700 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calocitta colliei (Vigors, 1829)"
 ]
}

 The dataset includes 11700 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019930-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv0r0x
title: Occurrence Download

description: A dataset containing 631763 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglais io (Linnaeus, 1758)"
 ]
}

 The dataset includes 631763 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019931-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5f0qs
title: Occurrence Download

description: A dataset containing 1937 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Seseli tortuosum L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1937 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019931-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a6ujw
title: Occurrence Download

description: A dataset containing 1598 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is Mosquito Occurrence Dataset",
 "DatasetKey is Diagnóstico del estado actual de la invasión biológica por Aedes (Stegomyia) albopictus (Skuse) (Díptera: Culícidae) en las principales áreas naturales protegidas de la Península de Yucatán, México"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anopheles albimanus Wiedemann, 1820"
 ]
}

 The dataset includes 1598 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206558-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2fawx
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thelypteris macrophylla (Kunze) C.V.Morton"
 ]
}

 The dataset includes 284 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019931-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkt43g
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diglossa gloriosa P.L.Sclater & Salvin, 1871"
 ]
}

 The dataset includes 516 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187554-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rp8tu
title: Occurrence Download

description: A dataset containing 17018 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calceolariaceae"
 ]
}

 The dataset includes 17018 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019931-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5vqt4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Nauclea officinalis (Pierre ex Pit.) Merr. & Chun"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203601-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryipv2
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-469.45679 26.05678,-467.87476 24.56711,-465.69946 22.49226,-464.77661 23.01908,-465.98511 25.0856,-468.81958 26.3525,-469.45679 26.05678))",
 "HasCoordinate is true",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 136 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019931-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aap9cz
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-64.07439 -65.91684,-59.94031 -64.52765,-61.09936 -62.89124,-65.22144 -64.22717,-64.07439 -65.91684))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fregetta tropica (Gould, 1844)",
 "Year 2000-2020"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210050-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ymlqc
title: Occurrence Download

description: A dataset containing 1951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "TaxonKey is Apodemus sylvaticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1951 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019932-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhsvwc
title: Occurrence Download

description: A dataset containing 134906 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sanicula L."
 ]
}

 The dataset includes 134906 records from 759 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224246-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsrmrq
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxymycterus delator Thomas, 1903"
 ]
}

 The dataset includes 76 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019933-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc3yna
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "TaxonKey is Gleditsia triacanthos L."
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190210-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34730/97b51b72ccf34a888d392c9841e04e93
title: Novel Signatures of Radiation Reaction in Electron-Laser Sidescattering

description: In this article we investigate novel signatures of radiation reaction via the angular deflection of an electron beam colliding at 90 degrees with an intense laser pulse. Due to the radiation reaction effect, the electrons can be deflected towards the beam axis for plane wave backgrounds, which is not possible in the absence of radiation reaction effects. The magnitude and size of the deflection angle can be controlled by tailoring the laser pulse shapes. The effect is first derived analytically using the Landau-Lifshitz equation, which allows to determine the important scaling behavior with laser intensity and particle energy. We then move on to full scale 3D Monte Carlo simulations to verify the effect is observable with present day laser technology. We investigate the opportunities for an indirect observation of laser depletion in such side scattering scenarios.

This record contains SMILEI namelists for the 1D and 3D simulations we have performed for this study. The open source particle-in-cell code SMILEI which we employed for our study can be found here: https://github.com/SmileiPIC/Smilei. Our simulations were performed on SMILEI v4.8
DOI: 10.15468/dl.zuzs0c
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erthesina fullo (Thunberg, 1783)"
 ]
}

 The dataset includes 292 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019933-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive156329.20251217.10
title: Burkholderia cenocepacia

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156330.20241212.9.2
title: Burkholderia cenocepacia

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156330.20251217.10
title: Burkholderia cenocepacia

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156331.20241212.9.2
title: Corynebacterium uterequi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156331.20251217.10
title: Corynebacterium uterequi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.