cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17186291
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.8vk7kf
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna surattensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 709 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010329-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjqz3a
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex erubescens",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010330-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk3867
title: Occurrence Download

description: A dataset containing 4550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus crotchii"
 ]
}

 The dataset includes 4550 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010331-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e101105v2-188496
title: Growing Wealth Gaps in Education

description: Prior research on trends in educational inequality has focused chiefly on changing gaps in educational attainment by family income or parental occupation. In contrast, this contribution provides the first assessment of trends in educational attainment by family wealth and suggests that we should be at least as much concerned about growing wealth gaps in education. Despite overall growth in educational attainment and some signs of decreasing wealth gaps in high school attainment and college access, I find a large and rapidly increasing wealth gap in college attainment between cohorts born in the 1970 and 1980s, respectively. This growing wealth gap in higher educational attainment co-occurred with a rise in inequality in children's wealth backgrounds, though the analyses also suggest that the latter does not fully account for the former. Nevertheless, the results reported here raise concerns about the distribution of educational opportunity among today's children who grow up in a context of particularly extreme wealth inequality.
DOI: 10.5281/zenodo.14990483
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: 10.5281/zenodo.17188071
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.nfprcq
title: Occurrence Download

description: A dataset containing 4384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna tora",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4384 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010332-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16889781
title: Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA: Supporting Data

description: "Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA: Supporting Data"

We present the data supporting the manuscript entitled "Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA", ref. MN-24-1207-MJ.R3, accepted for publication in Monthly Notices of the Royal Astronomical Society Main Journal on 27 August 2025.

IRAS_RBGS_Radio_Table1.vot - The IRAC RBGS Sample Properties with MeerKAT and the VLA (VOT Format)

IRAS_RBGS_Radio_Table3.vot - Properties of the IRAS RBGS Southern Interacting/Merging Sample (VOT Format)

See Table Comments/Header Info and IRAS_RBGS_Radio_Table1.readme and IRAS_RBGS_Radio_Table3.readme files for details about the Table Contents
DOI: 10.15468/dl.sctqb5
title: Occurrence Download

description: A dataset containing 170968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus nigra",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 170968 records from 1797 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010279-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zum99
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 -90,7.5 -90,7.5 -82.5,0 -82.5,0 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038808-251009101135966/datasets/export for details.
DOI: 10.15468/dl.txj2qh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 -90,-22.5 -90,-22.5 -82.5,-30 -82.5,-30 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038807-251009101135966/datasets/export for details.
DOI: 10.15468/dl.agwq9w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 82.5,37.5 82.5,37.5 90,30 90,30 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038809-251009101135966/datasets/export for details.
DOI: 10.15468/dl.v9pewk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((37.5 82.5,45 82.5,45 90,37.5 90,37.5 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038810-251009101135966/datasets/export for details.
DOI: 10.15468/dl.6zqx2v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 82.5,7.5 82.5,7.5 90,0 90,0 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038812-251009101135966/datasets/export for details.
DOI: 10.15468/dl.jq7w6w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-37.5 -90,-30 -90,-30 -82.5,-37.5 -82.5,-37.5 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038811-251009101135966/datasets/export for details.
DOI: 10.15468/dl.yy6xrw
title: Occurrence Download

description: A dataset containing 4675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Year is 2011",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 4675 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038813-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxax6g
title: Occurrence Download

description: A dataset containing 2038 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morpho epistrophus"
 ]
}

 The dataset includes 2038 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038814-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtf5s6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((7.5 82.5,15 82.5,15 90,7.5 90,7.5 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038815-251009101135966/datasets/export for details.
DOI: 10.15468/dl.fbty6u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-7.5 -90,0 -90,0 -82.5,-7.5 -82.5,-7.5 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038818-251009101135966/datasets/export for details.
DOI: 10.15468/dl.qkxa29
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-45 -90,-37.5 -90,-37.5 -82.5,-45 -82.5,-45 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038817-251009101135966/datasets/export for details.
DOI: 10.15468/dl.33sbmh
title: Occurrence Download

description: A dataset containing 1474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Buddleja parviflora"
 ]
}

 The dataset includes 1474 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038816-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyaede
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((45 82.5,52.5 82.5,52.5 90,45 90,45 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038820-251009101135966/datasets/export for details.
DOI: 10.15468/dl.s5xcrm
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038819-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mr3zx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((15 82.5,22.5 82.5,22.5 90,15 90,15 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038821-251009101135966/datasets/export for details.
DOI: 10.15468/dl.2mwwyy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-15 -90,-7.5 -90,-7.5 -82.5,-15 -82.5,-15 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038822-251009101135966/datasets/export for details.
DOI: 10.15468/dl.x2eq3a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-22.5 -90,-15 -90,-15 -82.5,-22.5 -82.5,-22.5 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038823-251009101135966/datasets/export for details.
DOI: 10.21227/4cdw-5w67
title: "Machine Learning Model Deployment in Mobile-based Systems: State of the Art and Trends - Data extraction"

description: "Mobile technology has significantly advanced over the past two decades, transitioning from simple telecommunications devices to sophisticated smartphones, tablets, portable computers, and integrated Internet of Things (IoT) systems. In parallel, Artificial Intelligence (AI) and Machine Learning (ML) have evolved from niche research topics to ubiquitous technologies in modern society. Recent advances in mobile processing capabilities have opened new possibilities for deploying large, complex ML models from cloud servers directly to mobile devices, reducing computational costs and improving privacy and response times. Hence, understanding ML model deployment strategies for resource-constrained mobile environments has become essential, and practitioners have had difficulty deciding which strategies to adopt. This study presents the state-of-the-art and future trends for the deployment of ML models in mobile-based systems. We scrutinized the scientific literature, selected 30 primary studies, and examined them across three aspects:  deployment approaches, characteristics of mobile devices considered during deployment, and technologies supporting the deployment. Our findings reveal different deployment approaches, from simple ones (e.g., the embedded approach that has been most investigated) to those with potential for future adoption (i.e., real-time streaming and push messaging approaches still underexplored, as well as other promising new approaches). We also identified critical mobile device characteristics---processing units (CPU, GPU, and NPU), power consumption, latency, bandwidth, and memory\/storage---that should be systematically considered during design and deployment. In addition there are many supporting technologies and tools (mostly open source and community-driven), including ML model conversion tools, cloud infrastructure services, specialized network protocols, and security mechanisms, revealing significant fragmentation and lack of standardization.  Results of this study have important implications for researchers and practitioners interested in the quality of ML-enacted mobile-based systems, in terms of cost-effectiveness, sustainability, and performance."
DOI: 10.15468/dl.n387mq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-52.5 -90,-45 -90,-45 -82.5,-52.5 -82.5,-52.5 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038825-251009101135966/datasets/export for details.
DOI: 10.15468/dl.ukxd77
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 82.5,67.5 82.5,67.5 90,60 90,60 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038827-251009101135966/datasets/export for details.