cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zhwqyz
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((150.286 -9.863955000000001, 150.214689 -9.869512, 150.145126 -9.886049, 150.079018 -9.91316, 150.017989 -9.950179, 149.963536 -9.996198, 149.917 -10.050087, 149.879528 -10.110523, 149.852044 -10.176021, 149.835232 -10.244972, 149.829512 -10.315678, 149.835031 -10.386399, 149.851662 -10.455394, 149.879001 -10.520962, 149.916381 -10.581487, 149.962885 -10.635474, 150.017369 -10.68159, 150.078491 -10.718697, 150.144743 -10.745878, 150.214487 -10.76246, 150.286 -10.768033, 150.357513 -10.76246, 150.427257 -10.745878, 150.493509 -10.718697, 150.554631 -10.68159, 150.609115 -10.635474, 150.655619 -10.581487, 150.692999 -10.520962, 150.720338 -10.455394, 150.736969 -10.386399, 150.742488 -10.315678, 150.736768 -10.244972, 150.719956 -10.176021, 150.692472 -10.110523, 150.655 -10.050087, 150.608464 -9.996198, 150.554011 -9.950179, 150.492982 -9.91316, 150.426874 -9.886049, 150.357311 -9.869512, 150.286 -9.863955000000001))",
 "ClassKey is Aves",
 "Year is greater than or equal to 2015",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Material citation, Material sample)"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 40 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025036-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.492eqh
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alouatta discolor",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025039-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17802666
title: A curated dataset on acute in vivo ecotoxicity for metallic nanomaterials from published literature

description: Compiled dataset based on literature containing acute in vivo laboratory experiments using metallic nanomaterials. Data extracted from literature includes material information, physico-chemical properties, experimental conditions, endpoint information and literary meta-data.
DOI: 10.15468/dl.ux3e7a
title: Occurrence Download

description: A dataset containing 23908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Enhydra lutris"
 ]
}

 The dataset includes 23908 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025038-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jfzwt
title: Occurrence Download

description: A dataset containing 591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Hymenoptera",
 "Country is Croatia"
 ]
}

 The dataset includes 591 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025040-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/kl6zdi
title: PAN-00106184 - coin/coin-related, Augustus (27 v.-14 na Chr.), as

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00106184&lt;/p&gt;
description: Modified: 2025-06-02T07:51:29+02:00
DOI: 10.15468/fafx49
title: Invasive Alien Species in Denmark

description: Database containing observations of invasive alien species in Denmark. This dataset is an extract of species observations from the nationwide portal "invasive-arter.dk". Data are mainly collected by amateur nature enthusiasts. Data only consist of validated data. Validation is based on photos and videos, which have been made inaccessible during the transfer of data to arter.dk.
DOI: 10.15468/dl.p44nyt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Plecturocebus grovesi"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025041-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytfyd2
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Michigan Museum of Zoology, Division of Reptiles & Amphibians",
 "Country is Croatia"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025042-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csarz9
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Lepidoptera",
 "Country is Croatia"
 ]
}

 The dataset includes 94 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025043-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nae5w
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((147.707 -8.402917, 147.635979 -8.408477, 147.5667 -8.425018, 147.500864 -8.452135999999999, 147.440088 -8.489164000000001, 147.385866 -8.535194000000001, 147.339531 -8.589095, 147.302225 -8.649543, 147.27487 -8.715052, 147.258142 -8.784011, 147.252461 -8.854723999999999, 147.257971 -8.92545, 147.274543 -8.994448, 147.301776 -9.060017, 147.339003 -9.12054, 147.385311 -9.174524, 147.439561 -9.220637999999999, 147.500415 -9.257740999999999, 147.566374 -9.284919, 147.635807 -9.301499, 147.707 -9.307072, 147.778193 -9.301499, 147.847626 -9.284919, 147.913585 -9.257740999999999, 147.974439 -9.220637999999999, 148.028689 -9.174524, 148.074997 -9.12054, 148.112224 -9.060017, 148.139457 -8.994448, 148.156029 -8.92545, 148.161539 -8.854723999999999, 148.155858 -8.784011, 148.13913 -8.715052, 148.111775 -8.649543, 148.074469 -8.589095, 148.028134 -8.535194000000001, 147.973912 -8.489164000000001, 147.913136 -8.452135999999999, 147.8473 -8.425018, 147.778021 -8.408477, 147.707 -8.402917))",
 "ClassKey is Aves",
 "Year is greater than or equal to 2015",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Material citation, Material sample)"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 626 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025044-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa3quk
title: Occurrence Download

description: A dataset containing 574832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.69642 37.45974,-7.33338 36.95858,-6.67991 36.72615,-6.22006 36.12245,-5.6876 35.8875,-4.55008 36.06378,-3.13455 36.51563,-1.60979 36.84559,-1.80341 38.17027,-2.91673 38.94622,-4.5867 38.79547,-5.65162 38.81433,-7.22478 38.39824,-7.69642 37.45974))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Asio flammeus, Cursorius cursor, Emberiza calandra, Bucanetes githagineus, Cisticola juncidis, Oenanthe leucura, Oenanthe hispanica, Coracias garrulus, Circus cyaneus, Sylvia conspicillata, Oenanthe oenanthe, Anthus campestris, Calandrella rufescens, Melanocorypha calandra, Galerida theklae, Galerida cristata, Chersophilus duponti, Alauda arvensis, Pterocles alchata, Pterocles orientalis, Glareola pratincola, Burhinus oedicnemus, Otis tarda, Tetrax tetrax, Coturnix coturnix, Alectoris rufa, Falco naumanni, Circus pygargus, Calandrella brachydactyla)"
 ]
}

 The dataset includes 574832 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024977-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whh42f
title: Occurrence Download

description: A dataset containing 1039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alouatta guariba",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1039 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025046-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhsfjs
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus majevskianus"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025045-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/1lc4cm
title: PAN-00104892 - coin/coin-related, Constantinus I en zonen (306-361), naar, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104892&lt;/p&gt;
description: Modified: 2025-05-06T13:01:57+02:00
DOI: 10.15468/dl.fmezy5
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Estonian Naturalists’ Society",
 "Country is Croatia"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025047-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq9nvh
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphaerias blanfordi",
 {
 "or" : [
 "Country is China",
 "Country is Chinese Taipei",
 "Country is Hong Kong"
 ]
 }
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025048-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16912028
title: HERM-BRM-V311-FI

description: Higher Education Reference model v. 3.1.1 Finnish version (fixed descriptions 25.9.2025 and 3.12.2025)
DOI: 10.5281/zenodo.17801578
title: HERM-BRM-V311-FI

description: Higher Education Reference model v. 3.1.1 Finnish version (fixed descriptions 25.9.2025 and 3.12.2025)
DOI: 10.15468/dl.xkjq23
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus rattus"
 ]
}

 The dataset includes 314 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025049-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx7b2e
title: Occurrence Download

description: A dataset containing 1345243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.38485 43.44634,4.46788 43.4453,4.51158 43.44364,4.5584 43.4312,4.57309 43.41432,4.57391 43.40031,4.55102 43.39411,4.5527 43.36188,4.68299 43.33869,4.73826 43.34453,4.78648 43.33963,4.8359 43.32479,4.88451 43.33414,4.92636 43.39181,4.87796 43.37912,4.84417 43.40963,4.75954 43.42653,4.75941 43.50004,4.70678 43.57811,4.61442 43.69513,4.57006 43.71229,4.45006 43.71073,4.40794 43.60501,4.34161 43.55306,4.30175 43.56394,4.31002 43.53022,4.29033 43.51718,4.24301 43.5071,4.21507 43.45872,4.38485 43.44634))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 1345243 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024983-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s8qr8
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Miami University - Algae",
 "Country is Croatia"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025050-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25909/30560000
title: Supplementary methods and data for Harnessing a native corticosteroid-binding globulin to treat life -threatening septic shock

description: This is the supplementary methods and results for the paper in Endocrinology entitled: Harnessing a native corticosteroid-binding globulin to treat life-threatening septic shock.
DOI: 10.25909/30560000.v1
title: Supplementary methods and data for Harnessing a native corticosteroid-binding globulin to treat life -threatening septic shock

description: This is the supplementary methods and results for the paper in Endocrinology entitled: Harnessing a native corticosteroid-binding globulin to treat life-threatening septic shock.
DOI: 10.25909/30560000.v2
title: Supplementary methods and data for Harnessing a native corticosteroid-binding globulin to treat life -threatening septic shock

description: This is the supplementary methods and results for the paper in Endocrinology entitled: Harnessing a native corticosteroid-binding globulin to treat life-threatening septic shock.
DOI: 10.25909/30560000.v3
title: Supplementary methods and data for Harnessing a native corticosteroid-binding globulin to treat life -threatening septic shock

description: This is the supplementary methods and results for the paper in Endocrinology entitled: Harnessing a native corticosteroid-binding globulin to treat life-threatening septic shock.
DOI: 10.25909/30702329
title: SceneEdited - Patch Data Base

description: Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as environments evolve, creating a need for robust methods that not only detect changes but also incorporate them into updated 3D representations. While change detection techniques have advanced significantly, there remains a clear gap between detecting changes and actually updating 3D maps, particularly when relying on 2D image-based change detection. To address this gap, we introduce <b>SceneEdited</b>, the first city-scale dataset explicitly designed to support research on HD map maintenance through 3D point cloud updating. <b>SceneEdited</b> contains over 800 up-to-date scenes covering 73 km of driving and approximate 3 km<sup>2</sup> of urban area, with more than 23,000 synthesized object changes created both manually and automatically across 2000+ out-of-date versions, simulating realistic urban modifications such as missing roadside infrastructure, buildings, overpasses, and utility poles. Each scene includes calibrated RGB images, LiDAR scans, and detailed change masks for training and evaluation. We also provide baseline methods using a foundational image-based structure-from-motion pipeline for updating outdated scenes, as well as a comprehensive toolkit supporting <b>scalability</b>, <b>trackability</b>, and <b>portability</b> for future dataset expansion and unification of out-of-date object annotations. Both the dataset and the toolkit are publicly available at https://github.com/ChadLin9596/ScenePoint-ETK, establising a standardized benchmark for 3D map updating research.
DOI: 10.25909/30702329.v1
title: SceneEdited - Patch Data Base

description: Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as environments evolve, creating a need for robust methods that not only detect changes but also incorporate them into updated 3D representations. While change detection techniques have advanced significantly, there remains a clear gap between detecting changes and actually updating 3D maps, particularly when relying on 2D image-based change detection. To address this gap, we introduce <b>SceneEdited</b>, the first city-scale dataset explicitly designed to support research on HD map maintenance through 3D point cloud updating. <b>SceneEdited</b> contains over 800 up-to-date scenes covering 73 km of driving and approximate 3 km<sup>2</sup> of urban area, with more than 23,000 synthesized object changes created both manually and automatically across 2000+ out-of-date versions, simulating realistic urban modifications such as missing roadside infrastructure, buildings, overpasses, and utility poles. Each scene includes calibrated RGB images, LiDAR scans, and detailed change masks for training and evaluation. We also provide baseline methods using a foundational image-based structure-from-motion pipeline for updating outdated scenes, as well as a comprehensive toolkit supporting <b>scalability</b>, <b>trackability</b>, and <b>portability</b> for future dataset expansion and unification of out-of-date object annotations. Both the dataset and the toolkit are publicly available at https://github.com/ChadLin9596/ScenePoint-ETK, establising a standardized benchmark for 3D map updating research.
DOI: 10.25909/30702929
title: SceneEdited - Scene Data Base

description: Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as environments evolve, creating a need for robust methods that not only detect changes but also incorporate them into updated 3D representations. While change detection techniques have advanced significantly, there remains a clear gap between detecting changes and actually updating 3D maps, particularly when relying on 2D image-based change detection. To address this gap, we introduce <b>SceneEdited</b>, the first city-scale dataset explicitly designed to support research on HD map maintenance through 3D point cloud updating. <b>SceneEdited</b> contains over 800 up-to-date scenes covering 73 km of driving and approximate 3 km<sup>2</sup> of urban area, with more than 23,000 synthesized object changes created both manually and automatically across 2000+ out-of-date versions, simulating realistic urban modifications such as missing roadside infrastructure, buildings, overpasses, and utility poles. Each scene includes calibrated RGB images, LiDAR scans, and detailed change masks for training and evaluation. We also provide baseline methods using a foundational image-based structure-from-motion pipeline for updating outdated scenes, as well as a comprehensive toolkit supporting <b>scalability</b>, <b>trackability</b>, and <b>portability</b> for future dataset expansion and unification of out-of-date object annotations. Both the dataset and the toolkit are publicly available at https://github.com/ChadLin9596/ScenePoint-ETK, establising a standardized benchmark for 3D map updating research.
DOI: 10.25909/30702929.v1
title: SceneEdited - Scene Data Base

description: Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as environments evolve, creating a need for robust methods that not only detect changes but also incorporate them into updated 3D representations. While change detection techniques have advanced significantly, there remains a clear gap between detecting changes and actually updating 3D maps, particularly when relying on 2D image-based change detection. To address this gap, we introduce <b>SceneEdited</b>, the first city-scale dataset explicitly designed to support research on HD map maintenance through 3D point cloud updating. <b>SceneEdited</b> contains over 800 up-to-date scenes covering 73 km of driving and approximate 3 km<sup>2</sup> of urban area, with more than 23,000 synthesized object changes created both manually and automatically across 2000+ out-of-date versions, simulating realistic urban modifications such as missing roadside infrastructure, buildings, overpasses, and utility poles. Each scene includes calibrated RGB images, LiDAR scans, and detailed change masks for training and evaluation. We also provide baseline methods using a foundational image-based structure-from-motion pipeline for updating outdated scenes, as well as a comprehensive toolkit supporting <b>scalability</b>, <b>trackability</b>, and <b>portability</b> for future dataset expansion and unification of out-of-date object annotations. Both the dataset and the toolkit are publicly available at https://github.com/ChadLin9596/ScenePoint-ETK, establising a standardized benchmark for 3D map updating research.
DOI: 10.5281/zenodo.17794205
title: LATAM_PM2.5_1km_Mensual (2024)

description: Resumen

LATAM_PM2.5_1km_Mensual es parte de una serie de conjuntos de datos regionales que proveen predicciones de concentraciones de PM2.5 de alta resolución a nivel del suelo en cinco ciudades principales de América Latina para 2024. Se genera a partir de múltiples fuentes de datos (por ejemplo, mediciones terrestres, productos de teledetección satelital y reanálisis atmosférico) utilizando modelos de machine learning (ML).

Codigo

Scripts de R para la generación de los modelos y la construcción de los datos, incluyendo códigos para la conversión de formatos y visualización: https://github.com/joseurquiza88/Prediccion-AQ-LatAm

Tesis doctoral relacionada: Productos satelitales como herramienta clave para predecir la variabilidad espacio-temporal del PM2.5 en centros urbanos de América Latina.
DOI: 10.5281/zenodo.17794204
title: LATAM_PM2.5_1km_Mensual (2024)

description: Resumen

LATAM_PM2.5_1km_Mensual es parte de una serie de conjuntos de datos regionales que proveen predicciones de concentraciones de PM2.5 de alta resolución a nivel del suelo en cinco ciudades principales de América Latina para 2024. Se genera a partir de múltiples fuentes de datos (por ejemplo, mediciones terrestres, productos de teledetección satelital y reanálisis atmosférico) utilizando modelos de machine learning (ML).

Codigo

Scripts de R para la generación de los modelos y la construcción de los datos, incluyendo códigos para la conversión de formatos y visualización: https://github.com/joseurquiza88/Prediccion-AQ-LatAm

Tesis doctoral relacionada: Productos satelitales como herramienta clave para predecir la variabilidad espacio-temporal del PM2.5 en centros urbanos de América Latina.