cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3srwt4
title: Occurrence Download

description: A dataset containing 1204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplothrips leucanthemi (Schrank, 1781)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1204 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011282-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnzq3a
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthocidaris crassispina (A.Agassiz, 1864)"
 ]
}

 The dataset includes 390 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011287-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbyjee
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gibbium psylloides (Czenpinski, 1778)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 465 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011288-250310093411724/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.28603916
title: Cleaned survey data for juvenile blacktip reef sharks in Moorea, French Polynesia (2013-2023)

description: Data were collected over ten consecutive parturition seasons (2013-2023) as part of long-term, fisheries-independent surveys carried out as a collaboration with the Centre de Recherches Insulaires et Observatoire de l’Environnement (CRIOBE) and the Physioshark Research Programme around Moorea, French Polynesia (17° 30’ S, 149° 50’ W). During these surveys, neonatal and juvenile blacktip reef sharks were caught using a 50 × 1.5 m gillnet with 5-cm mesh size set perpendicular to shore. Please see accompanying text (McInturf et al., 2025; Ecology & Evolution) for details.
DOI: 10.15468/dl.u28vu4
title: Occurrence Download

description: A dataset listing the 85 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-0.4 51,-0.3 51,-0.3 51.1,-0.4 51.1,-0.4 51))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 85 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011283-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3d4uu
title: Occurrence Download

description: A dataset listing the 76 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-0.2 51.7,-0.1 51.7,-0.1 51.8,-0.2 51.8,-0.2 51.7))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 76 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011286-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f2c9f
title: Occurrence Download

description: A dataset listing the 50 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-2.6 51.4,-2.5 51.4,-2.5 51.5,-2.6 51.5,-2.6 51.4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 50 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011285-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4r45yy
title: Occurrence Download

description: A dataset containing 429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinusa neta (E.F.Germar, 1821)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 429 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011289-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urmyvc
title: Occurrence Download

description: A dataset containing 4510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tayassu pecari (Link, 1795)"
 ]
}

 The dataset includes 4510 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011290-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch96r7
title: Occurrence Download

description: A dataset containing 42740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nestor meridionalis (Gmelin, 1788)"
 ]
}

 The dataset includes 42740 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011292-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97fe2v
title: Occurrence Download

description: A dataset containing 1355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Geometry POLYGON((165.52745 -55.07996,183.78533 -55.07996,183.78533 -26.84901,165.52745 -26.84901,165.52745 -55.07996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agapanthus praecox Willd."
 ]
}

 The dataset includes 1355 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011293-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15036503
title: Mass loss, timing and duration of catastrophic moult in little penguins

description: Feather regeneration is vital for birds' thermoregulation, courtship, breeding, camouflage, and locomotion, with strategies reflecting life history. Little penguins (Eudyptula minor) use a 'catastrophic moult' strategy, replacing all feathers within a short timeframe while on land and not foraging. This study examined the 2015 and 2016 moult seasons on Phillip Island to explore factors influencing moult timing, duration, and mass loss. The median start date for moult was earlier in 2016 (~Feb 15th) than in 2015 (~Feb 24th), with year being the only significant predictor of moult start date. The median moult duration was similar in both years (18.0 days in 2015, 17.5 days in 2016), and start date was the only significant predictor of duration. Males experienced significantly greater mass loss than females, though no difference was observed between years. The duration of moult and start-of-moult mass were key predictors of mass loss, with longer moult and higher initial mass leading to greater daily mass loss. The timing and duration of little penguins' moult, along with the need for significant pre-moult mass gain, are likely influenced by external factors like local prey availability. Moult plasticity likely benefits little penguin survival.
DOI: 10.5281/zenodo.15036504
title: Mass loss, timing and duration of catastrophic moult in little penguins

description: Feather regeneration is vital for birds' thermoregulation, courtship, breeding, camouflage, and locomotion, with strategies reflecting life history. Little penguins (Eudyptula minor) use a 'catastrophic moult' strategy, replacing all feathers within a short timeframe while on land and not foraging. This study examined the 2015 and 2016 moult seasons on Phillip Island to explore factors influencing moult timing, duration, and mass loss. The median start date for moult was earlier in 2016 (~Feb 15th) than in 2015 (~Feb 24th), with year being the only significant predictor of moult start date. The median moult duration was similar in both years (18.0 days in 2015, 17.5 days in 2016), and start date was the only significant predictor of duration. Males experienced significantly greater mass loss than females, though no difference was observed between years. The duration of moult and start-of-moult mass were key predictors of mass loss, with longer moult and higher initial mass leading to greater daily mass loss. The timing and duration of little penguins' moult, along with the need for significant pre-moult mass gain, are likely influenced by external factors like local prey availability. Moult plasticity likely benefits little penguin survival.
DOI: 10.15468/dl.gnw3g4
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gryllodes supplicans (Walker, 1859)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 99 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011294-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14948326
title: Sequoia National Park (SNP) - Hazard Detection Dataset (Wildfire, Extreme Snowfall)

description: This dataset was collected over a forested mountain region in Sequoia National Park, California, USA, a unique area experiencing both wildfires and extreme out-of-season snowfall throughout the year. Monitoring out-of-season snowfall is critical for nearby communities, as rapid melting can lead to severe flooding. Similarly, wildfire detection is essential for tracking vegetation loss and assessing environmental impact.

Anomaly Labeling

Anomalies in the dataset were identified using two primary criteria:





Snowfall Anomalies:



Images captured when snow depth exceeded the maximum or fell below the minimum recorded during the training period were labeled as anomalies.

Snow depth data was obtained from the Leavitt Meadows ground station via the National Water and Climate Center (NWCC).





Wildfire Anomalies:



Visual inspection of RGB and infrared images was used to identify wildfire-affected areas.

Additionally, images with an average Normalized Burn Ratio (NBR) below the training minimum were labeled as anomalies, indicating significant vegetation loss (i.e., burned regions).




Data Collection & Processing

The dataset consists of imagery collected through the Sentinel-2 satellite constellation and extracted using Sentinel Hub's Python API. The dataset spans different geographical regions of interest, each featuring various types of hazards.





Processing Level:



All images use Level-2A processing, meaning pixel values are radiometrically corrected to provide bottom-of-atmosphere surface reflectance.





Spectral Bands Used:



Of the 13 available Sentinel-2 bands, only the 10 bands at 10m or 20m resolution were used.

The three 60m resolution bands (primarily used for atmospheric correction) were excluded.





Spatial Resolution:



The dataset was downsampled to 30m per pixel resolution, balancing large-scale hazard detection with adequate regional coverage.

Each image has a spatial resolution of 1024 × 1024 pixels.




Dataset Composition





Training Set:



Contains 186 images (each stored as a .npy file with a corresponding .png file).

Captured between January 2017 and July 2020.





Test Set:



Contains 250 images.

Captured between August 2020 and August 2023.





Cloud Filtering:



Images with more than 30% cloud coverage, as defined by Sentinel-Hub, were removed.

Additional images with visually high cloud coverage were manually filtered out.
DOI: 10.5281/zenodo.14948327
title: Sequoia National Park (SNP) - Hazard Detection Dataset (Wildfire, Extreme Snowfall)

description: This dataset was collected over a forested mountain region in Sequoia National Park, California, USA, a unique area experiencing both wildfires and extreme out-of-season snowfall throughout the year. Monitoring out-of-season snowfall is critical for nearby communities, as rapid melting can lead to severe flooding. Similarly, wildfire detection is essential for tracking vegetation loss and assessing environmental impact.

Anomaly Labeling

Anomalies in the dataset were identified using two primary criteria:





Snowfall Anomalies:



Images captured when snow depth exceeded the maximum or fell below the minimum recorded during the training period were labeled as anomalies.

Snow depth data was obtained from the Leavitt Meadows ground station via the National Water and Climate Center (NWCC).





Wildfire Anomalies:



Visual inspection of RGB and infrared images was used to identify wildfire-affected areas.

Additionally, images with an average Normalized Burn Ratio (NBR) below the training minimum were labeled as anomalies, indicating significant vegetation loss (i.e., burned regions).




Data Collection & Processing

The dataset consists of imagery collected through the Sentinel-2 satellite constellation and extracted using Sentinel Hub's Python API. The dataset spans different geographical regions of interest, each featuring various types of hazards.





Processing Level:



All images use Level-2A processing, meaning pixel values are radiometrically corrected to provide bottom-of-atmosphere surface reflectance.





Spectral Bands Used:



Of the 13 available Sentinel-2 bands, only the 10 bands at 10m or 20m resolution were used.

The three 60m resolution bands (primarily used for atmospheric correction) were excluded.





Spatial Resolution:



The dataset was downsampled to 30m per pixel resolution, balancing large-scale hazard detection with adequate regional coverage.

Each image has a spatial resolution of 1024 × 1024 pixels.




Dataset Composition





Training Set:



Contains 186 images (each stored as a .npy file with a corresponding .png file).

Captured between January 2017 and July 2020.





Test Set:



Contains 250 images.

Captured between August 2020 and August 2023.





Cloud Filtering:



Images with more than 30% cloud coverage, as defined by Sentinel-Hub, were removed.

Additional images with visually high cloud coverage were manually filtered out.
DOI: 10.15468/dl.9u42cu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-73.91957 40.91972,-73.96557 40.82418,-74.01637 40.75972,-74.02667 40.70196,-74.05413 40.65197,-74.08915 40.64989,-74.09876 40.6478,-74.13789 40.64416,-74.16124 40.64728,-74.17772 40.64728,-74.19351 40.64364,-74.20312 40.62748,-74.20518 40.61185,-74.19969 40.59986,-74.20724 40.58891,-74.21479 40.55709,-74.23333 40.5597,-74.24569 40.5524,-74.25049 40.54248,-74.24775 40.52265,-74.25804 40.51169,-74.26148 40.49916,-74.25942 40.48872,-74.22509 40.47566,-73.97861 40.51952,-73.9024 40.49081,-73.89279 40.5049,-73.80422 40.53152,-73.76234 40.53257,-73.75891 40.56179,-73.73351 40.58526,-73.74586 40.60611,-73.76852 40.61497,-73.76989 40.62488,-73.75067 40.63061,-73.74106 40.64624,-73.72252 40.64885,-73.72939 40.66656,-73.71771 40.71446,-73.69849 40.7488,-73.75067 40.7826,-73.77882 40.81015,-73.78088 40.82574,-73.75754 40.84496,-73.74724 40.87197,-73.91957 40.91972))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mitchella repens L."
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011295-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scyez2
title: Occurrence Download

description: A dataset containing 643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnypeta caerulea (C.R.Sahlberg, 1831)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 643 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011296-250310093411724/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.28603928
title: Vitamin A Powder Stability Data

description: Stability data for vitamin A palmitate powders.
DOI: 10.15468/dl.nncpmf
title: Occurrence Download

description: A dataset containing 728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Proteus anguinus Laurenti, 1768"
 ]
}

 The dataset includes 728 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011299-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5mw28s6b
title: MassIVE MSV000097339 - Malassezia furfur-host interaction negative
title: Host-Malassezia interaction study using the Galleria mellonella model
DOI: 10.34965/i53308
title: 20234019
DOI: 10.15468/dl.8tcpyd
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemicentrotus pulcherrimus (A.Agassiz, 1864)"
 ]
}

 The dataset includes 1079 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011301-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9a7dk
title: Occurrence Download

description: A dataset containing 13980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Graphopsocus cruciatus (Linnaeus, 1768)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13980 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011304-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nu6bxa
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anoura cadenai Mantilla-Meluk & Baker, 2006)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011305-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.et7dpa
title: Occurrence Download

description: A dataset containing 834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phyllotis darwini (Waterhouse, 1837))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 834 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011306-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kymfta
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Machine Observation)",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Leopardus tigrinus (Schreber, 1775), Lagothrix lagothricha (Humboldt, 1812))"
 ]
}

 The dataset includes 678 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011307-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6467v
title: Occurrence Download

description: A dataset listing the 63 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-0.8 50.9,-0.7 50.9,-0.7 51,-0.8 51,-0.8 50.9))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 63 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011300-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb67fg
title: Occurrence Download

description: A dataset listing the 39 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((0.1 51.6,0.2 51.6,0.2 51.7,0.1 51.7,0.1 51.6))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 39 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011303-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49bj5x
title: Occurrence Download

description: A dataset listing the 94 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-1.4 53.3,-1.3 53.3,-1.3 53.4,-1.4 53.4,-1.4 53.3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 94 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011302-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh7kyv
title: Occurrence Download

description: A dataset containing 122568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valerianella locusta (L.) Laterr."
 ]
}

 The dataset includes 122568 records from 1811 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011284-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17462350
title: Research Pengaruh Algoritma AI dalam Penyajian Konten TikTok terhadap Perilaku Konsumsi Informasi Generasi Z
DOI: 10.5281/zenodo.17462351
title: Research Pengaruh Algoritma AI dalam Penyajian Konten TikTok terhadap Perilaku Konsumsi Informasi Generasi Z
DOI: 10.15468/dl.7hhkmr
title: Occurrence Download

description: A dataset containing 21095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "Geometry POLYGON((26.74889 -26.84191,26.70041 -26.89008,26.74449 -26.9451,26.83264 -26.91562,26.8635 -26.86845,26.80289 -26.82224,26.74889 -26.84191))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 21095 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004155-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.