cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15001787
title: Nonlinear Poisson's Equation

description: An adaptation of the Poisson's Equation generated for Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh, by Qin, T., Beatson, A., Oktay, D., McGreivy, N., and Adams, R. P. (2022). The dataset has been modified to include a cloud of boundary points that adhere to the constraints of the boundary condition for each PDE instance.
DOI: 10.5281/zenodo.15001788
title: Nonlinear Poisson's Equation

description: An adaptation of the Poisson's Equation generated for Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh, by Qin, T., Beatson, A., Oktay, D., McGreivy, N., and Adams, R. P. (2022). The dataset has been modified to include a cloud of boundary points that adhere to the constraints of the boundary condition for each PDE instance.
DOI: 10.15468/dl.zuq43p
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pouteria semecarpifolia (Pierre ex Duss) Pierre"
 ]
}

 The dataset includes 51 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000965-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mj4m4
title: Occurrence Download

description: A dataset containing 2995949 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos biogeográfica del Fondo de Investigación Pesquera y de Acuicultura (1999-2019), Subsecretaría de Pesca y Acuicultura"
 ]
}

 The dataset includes 2995949 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000961-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k5gqy
title: CCDC 2358750: Experimental Crystal Structure Determination

description: Related Article: Luyao Chu, Jing Dong, Ni Zhen, Di Zhang, Xin Guo, Jiesheng Hu, Yingnan Chi|2024|Inorg.Chim.Acta|572|122271|doi:10.1016/j.ica.2024.122271
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.psygnx
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 902 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000967-250310093411724/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.28248143
title: Derivative Based Global Sensitivity Analysis and Its Entropic Link

description: Variance-based Sobol’ sensitivity is one of the most well-known measures in global sensitivity analysis (GSA). However, uncertainties with certain distributions, such as highly skewed distributions or those with a heavy tail, cannot be adequately characterized using the second central moment only. Entropy-based GSA can consider the entire probability density function, but its application has been limited because it is difficult to estimate. Here we present a novel derivative-based upper bound for conditional entropies, to efficiently rank uncertain variables and to work as a proxy for entropy-based total effect indices. To overcome the non-desirable issue of negativity for differential entropies as sensitivity indices, we discuss an exponentiation of the total effect entropy and its proxy. Numerical verifications demonstrate that the upper bound is tight for monotonic functions and it provides the same input variable ranking as the entropy-based indices for about three-quarters of the 1000 random functions tested. We found that the new entropy proxy performs similarly to the variance-based proxies for a river flood physics model with eight inputs of different distributions, and these two proxies are equivalent in the special case of linear functions with Gaussian inputs. We expect the new entropy proxy to increase the variable screening power of derivative-based GSA and to complement Sobol’-indices proxy for a more diverse type of distributions.
DOI: 10.6084/m9.figshare.28248143.v1
title: Derivative based global sensitivity analysis and its entropic link

description: Variance-based Sobol’ sensitivity is one of the most well-known measures in global sensitivity analysis (GSA). However, uncertainties with certain distributions, such as highly skewed distributions or those with a heavy tail, cannot be adequately characterised using the second central moment only. Entropy-based GSA can consider the entire probability density function, but its application has been limited because it is difficult to estimate. Here we present a novel derivative-based upper bound for conditional entropies, to efficiently rank uncertain variables and to work as a proxy for entropy-based total effect indices. To overcome the non-desirable issue of negativity for differential entropies as sensitivity indices, we discuss an exponentiation of the total effect entropy and its proxy. Numerical verifications demonstrate that the upper bound is tight for monotonic functions and it provides the same input variable ranking as the entropy-based indices for about three-quarters of the 1000 random functions tested. We found that the new entropy proxy performs similarly to the variance-based proxies for a river flood physics model with 8 inputs of different distributions, and these two proxies are equivalent in the special case of linear functions with Gaussian inputs. We expect the new entropy proxy to increase the variable screening power of derivative-based GSA and to complement Sobol’-indices proxy for a more diverse type of distributions.
DOI: 10.6084/m9.figshare.28248143.v2
title: Derivative Based Global Sensitivity Analysis and Its Entropic Link

description: Variance-based Sobol’ sensitivity is one of the most well-known measures in global sensitivity analysis (GSA). However, uncertainties with certain distributions, such as highly skewed distributions or those with a heavy tail, cannot be adequately characterized using the second central moment only. Entropy-based GSA can consider the entire probability density function, but its application has been limited because it is difficult to estimate. Here we present a novel derivative-based upper bound for conditional entropies, to efficiently rank uncertain variables and to work as a proxy for entropy-based total effect indices. To overcome the non-desirable issue of negativity for differential entropies as sensitivity indices, we discuss an exponentiation of the total effect entropy and its proxy. Numerical verifications demonstrate that the upper bound is tight for monotonic functions and it provides the same input variable ranking as the entropy-based indices for about three-quarters of the 1000 random functions tested. We found that the new entropy proxy performs similarly to the variance-based proxies for a river flood physics model with eight inputs of different distributions, and these two proxies are equivalent in the special case of linear functions with Gaussian inputs. We expect the new entropy proxy to increase the variable screening power of derivative-based GSA and to complement Sobol’-indices proxy for a more diverse type of distributions.
DOI: 10.5281/zenodo.15001893
title: The Next Chapter Samsung Financial Performance
DOI: 10.5281/zenodo.15001894
title: The Next Chapter Samsung Financial Performance
DOI: 10.15468/dl.8zsdkr
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((86.01602 73.35807,102.92583 28.80722,119.83565 28.15684,175.11773 59.37496,171.21547 76.44737,86.01602 73.35807))",
 "TaxonKey is Larix gmelinii (Rupr.) Kuzen.",
 "Year 1980-2025"
 ]
}

 The dataset includes 156 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000969-250310093411724/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.28566884
title: Genome skimming, morphometrics, and ecology elucidates a shell morphology spectrum in freshwater mussels (Unionidae: <i>Fusconaia</i>)

description: All specimen metadata, UCE probe sequences, DNA alignments, measurements used in morphometric analyses, and hydrological estimates for Franzen, 2025.
DOI: 10.15468/dl.kzcax8
title: Occurrence Download

description: A dataset containing 1214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinoncus bruchoides (J.F.W.Herbst, 1784)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1214 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000968-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuscfc
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena runcinatae Cockerell, 1906",
 "Year 2020-2025"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000970-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14990484
title: TEMPO ML-Based Ocean Color Retrievals

description: These data are retrievals of ocean color properties (chlorophyll and remote sensing reflectance) for the Tropospheric Emissions: Monitoring of Pollution (TEMPO ) instrument. They have been developed using a machine learning based approach. In this approach, TEMPO measured reflectances are decomposed into principal components that describe the features in the spectra. The coefficients of those principal components are used to train a neural network that learns the relationships between the principal components and a physical quanity, which in this case is the ocean color properties. The ocean color data used to train the model was co-located from the Moderate Resolution Imaging Spectrometer (MODIS) onboard the Aqua satellite, the Visible Infrared Radiometer Suite (VIIRS) onboard NOAA-20 & NOAA-21, and Ocean and Land Color (OLCI) instrument onboard Sentinel 3A & Sentinel 3B. 

 

There are two datasets included in this repository. Both include chlorophyll concentration and remote sensing reflectance (443nm, 488nm, 560nm, 650nm)

TEMPO_OceanColor.zip contains Level 2 granules for a few sample days during August 2023 and March 2024 

TEMPO_OC_InsituObservations_March2024.h5 includes chlorophyll retrievals from TEMPO, MODIS, VIIRS, and OLCI along with in situ observations from the Point Loma outfall station off the coast of San Diego for March 2024. 

These data have undergone initial validation but should be used with caution as further validation is needed. 

 

For further details about how these data were produced, see Fasnacht et al. (2025), submitted to Earth and Space Science.
DOI: 10.15468/dl.ccshdq
title: Occurrence Download

description: A dataset containing 954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803), Leopardus pardalis (Linnaeus, 1758))"
 ]
}

 The dataset includes 954 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000971-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsu64s
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampropeltis getula floridana Blanchard, 1919"
 ]
}

 The dataset includes 217 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000972-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14939010
title: Physiology of Body Lateralization on Regional Lung Ventilation and Lung Volumes in Healthy Subjects
title: Dataset LATLUNGS Study

description: The provided dataset was used in a study titled 'Physiology of Body Lateralization on Regional Lung Ventilation and Lung Volumes in Healthy Subjects: Within-Subjects Design,' which is currently submitted and pending publication. The dataset consists of Electrical Impedance Tomography (EIT) measurements collected during supine positioning and body lateralization in healthy individuals. The data are stored in .txt or .xlsx files.
DOI: 10.5281/zenodo.14939011
title: Physiology of Body Lateralization on Regional Lung Ventilation and Lung Volumes in Healthy Subjects
title: Dataset LATLUNGS Study

description: The provided dataset was used in a study titled 'Physiology of Body Lateralization on Regional Lung Ventilation and Lung Volumes in Healthy Subjects: Within-Subjects Design,' which is currently submitted and pending publication. The dataset consists of Electrical Impedance Tomography (EIT) measurements collected during supine positioning and body lateralization in healthy individuals. The data are stored in .txt or .xlsx files.
DOI: 10.15468/dl.dtdyh6
title: Occurrence Download

description: A dataset containing 24412 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de Plantas das Unidades de Conservação do Brasil"
 ]
}

 The dataset includes 24412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000973-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.km6pw8
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-81.7444 43.30782,-81.74118 43.31058,-81.73759 43.31292,-81.7357 43.31897,-81.73929 43.32571,-81.74988 43.33011,-81.7599 43.3275,-81.76709 43.32227,-81.77295 43.31126,-81.77087 43.30507,-81.76312 43.29929,-81.75158 43.30108,-81.7444 43.30782))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1048 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000974-250310093411724/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.28099250
title: Assessment of land desertification in the Hexi Corridor of China in the last 20 years: trends and drivers

description: Research use data
DOI: 10.6084/m9.figshare.28099250.v2
title: Assessment of land desertification in the Hexi Corridor of China in the last 20 years: trends and drivers

description: Research use data
DOI: 10.5281/zenodo.15001940
title: 콜라츠 추측 증명
DOI: 10.5281/zenodo.15001941
title: 콜라츠 추측 증명
DOI: 10.15468/dl.ez235r
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinacloa pallidipes Maldonado, 1969",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000975-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb74yx
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (Martinique, Dominica, Saint Lucia, Saint Vincent and the Grenadines, Cuba, Guadeloupe, Virgin Islands (U.S.))",
 "DatasetKey is one of (The New York Botanical Garden Herbarium (NY), The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), NMNH Extant Specimen Records (USNM, US), Tropicos MO Specimen Data, iNaturalist Research-grade Observations, Royal Botanic Gardens, Kew - Herbarium Specimens, Guadeloupe_Herbier)",
 "TaxonKey is Pouteria multiflora (A.DC.) Eyma"
 ]
}

 The dataset includes 61 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.895mnp
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sogatella kolophon (Kirkaldy, 1907)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 131 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000982-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15001929
title: Datasets and Basic Outputs -- Local perspectives and institutional bricolage around conservation and development: Sembrando Vida and the Maya Train in Southern Yucatan Peninsula

description: Qsort database and basic Kade results for the Qmethod Analysis for the study "Local perspectives and institutional bricolage around conservation and development: Sembrando Vida and the Maya Train in Southern Yucatan Peninsula". Statements are presented in their original language (spanish).
DOI: 10.5281/zenodo.15001930
title: Datasets and Basic Outputs -- Local perspectives and institutional bricolage around conservation and development: Sembrando Vida and the Maya Train in Southern Yucatan Peninsula

description: Qsort database and basic Kade results for the Qmethod Analysis for the study "Local perspectives and institutional bricolage around conservation and development: Sembrando Vida and the Maya Train in Southern Yucatan Peninsula". Statements are presented in their original language (spanish).
DOI: 10.5281/zenodo.15001960
title: 콜라츠 추측을 증명
DOI: 10.5281/zenodo.15001961
title: 콜라츠 추측을 증명
DOI: 10.5281/zenodo.15001724
title: Minimal workflow test data for "End-to-End Tissue Microarray Image Analysis with Galaxy-ME"

description: This dataset is meant to be a minimally resource-intensive dataset to test the workflow associated with the Galaxy Training Network tutorial: 'End-to-End Tissue Microarray Image Analysis with Galaxy-ME'. The tutorial demonstrates how to use the Galaxy-ME tool suite for primary image processing, data analysis, and interactive visualization of multiple tissue imaging datasets. Original data was published by Schapiro et al. and the full dataset is available for download on the MCMICRO website under Exemplar-001. This minimal dataset is intended primarily for CI and other workflow testing. To learn the material in the tutorial, it is better to use the tutorial dataset (Exemplar-002 from MCMICRO).
DOI: 10.5281/zenodo.15001725
title: Minimal workflow test data for "End-to-End Tissue Microarray Image Analysis with Galaxy-ME"

description: This dataset is meant to be a minimally resource-intensive dataset to test the workflow associated with the Galaxy Training Network tutorial: 'End-to-End Tissue Microarray Image Analysis with Galaxy-ME'. The tutorial demonstrates how to use the Galaxy-ME tool suite for primary image processing, data analysis, and interactive visualization of multiple tissue imaging datasets. Original data was published by Schapiro et al. and the full dataset is available for download on the MCMICRO website under Exemplar-001. This minimal dataset is intended primarily for CI and other workflow testing. To learn the material in the tutorial, it is better to use the tutorial dataset (Exemplar-002 from MCMICRO).
DOI: 10.5281/zenodo.7622545
title: Galaxy Training Data for "End-to-End Tissue Microarray Image Analysis with Galaxy-ME"

description: This dataset provides the inputs used in the Galaxy Training Network (GTN) training 'End-to-End Tissue Microarray Image Analysis with Galaxy-ME'. The tutorial demonstrates how to use the Galaxy-ME tool suite for primary image processing, data analysis, and interactive visualization of multiple tissue imaging datasets. Original data was published by Schapiro <em>et al</em>.
DOI: 10.15468/dl.cjzn6v
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-74.09013 45.05092,-75.19584 45.04289,-76.90682 43.46275,-76.05268 42.00374,-73.97936 41.85964,-70.2919 42.58501,-66.96692 44.41736,-66.91214 45.2973,-68.15757 47.48123,-69.81783 46.89231,-71.34864 45.33239,-74.09013 45.05092))",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix herbacea L."
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000983-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxrnv2
title: Occurrence Download

description: A dataset listing the 4471 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Guinea",
 "Geometry POLYGON((-12.13345 8.94733,-7.60713 8.94733,-7.60713 12.75518,-12.13345 12.75518,-12.13345 8.94733))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 4471 records were derived from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000979-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15001958
title: BLENDED LEARNING IN TEACHING ENGLISH AS A SECOND LANGUAGE

description: Blended learning has emerged as a powerful instructional approach in teaching English as a Second Language (ESL). By combining traditional face-to-face teaching with digital learning resources, blended learning enhances language acquisition, engagement, and learner autonomy. This paper explores the benefits, challenges, and effective strategies of implementing blended learning in ESL classrooms.
DOI: 10.5281/zenodo.15001959
title: BLENDED LEARNING IN TEACHING ENGLISH AS A SECOND LANGUAGE

description: Blended learning has emerged as a powerful instructional approach in teaching English as a Second Language (ESL). By combining traditional face-to-face teaching with digital learning resources, blended learning enhances language acquisition, engagement, and learner autonomy. This paper explores the benefits, challenges, and effective strategies of implementing blended learning in ESL classrooms.