cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/29555159
title: Characterization and Extraction Techniques for Micro- and Nanoplastics in Environmental Matrices

description: Micro- and nanoplastics (MNPs) are persistent pollutants in the environment, difficult to detect and remove due to their small size, surface variability, and environmental complexity. This dissertation addresses two core challenges: understanding how submicron plastics degrade and developing a practical, low-input method for removing microplastics (MPs), including microfibers, from environmental matrices. Infrared photothermal heterodyne imaging (IR-PHI) was used to monitor UV-induced degradation of ~1000?nm polystyrene (PS) particles. Within 6 hours, oxidation products such as ketones, acids, and esters formed, accompanied by a measurable size reduction to 478?±?158?nm after 36 hours. Degradation followed a volumetric, rather than surface-limited, pattern. Based on observed rates, a complete degradation is projected in under 500 hours of peak sunlight. Building on this analytical foundation, a hexadecane-assisted aggregation method was developed to extract MPs from water without chemical coagulants or surface modification. The method performed consistently across various plastic types (PE, PP, PS, PET, PVC, PMMA) and particle sizes (125?µm–2?mm). Microfibers were also effectively removed. Aggregation succeeded in tap, river, lake, and wastewater, and was unaffected by pH, ionic strength, or turbidity. Mechanistic experiments confirmed that capillary bridge formation drove aggregation, requiring high interfacial tension (IFT =?50?mN/m), strong capillary force (Fc), and low capillary numbers (Ca =?0.01) to prevent bridge rupture. Favorable wetting of the plastic surface was also essential. No aggregation occurred in ethanol, and outcomes were inconsistent in ethylene glycol and air, underscoring the importance of interfacial interactions. Microscopy confirmed hexadecane bridges between irregularly shaped MPs. Together, these findings provide a high-resolution view of submicron plastic degradation and introduce a robust, field-relevant strategy for MP removal. Together, these findings bridge analytical insight and practical innovation, offering scalable tools to address plastic pollution across diverse and resource-constrained environments.
DOI: 10.7274/29555159.v1
title: Characterization and Extraction Techniques for Micro- and Nanoplastics in Environmental Matrices

description: Micro- and nanoplastics (MNPs) are persistent pollutants in the environment, difficult to detect and remove due to their small size, surface variability, and environmental complexity. This dissertation addresses two core challenges: understanding how submicron plastics degrade and developing a practical, low-input method for removing microplastics (MPs), including microfibers, from environmental matrices. Infrared photothermal heterodyne imaging (IR-PHI) was used to monitor UV-induced degradation of ~1000?nm polystyrene (PS) particles. Within 6 hours, oxidation products such as ketones, acids, and esters formed, accompanied by a measurable size reduction to 478?±?158?nm after 36 hours. Degradation followed a volumetric, rather than surface-limited, pattern. Based on observed rates, a complete degradation is projected in under 500 hours of peak sunlight. Building on this analytical foundation, a hexadecane-assisted aggregation method was developed to extract MPs from water without chemical coagulants or surface modification. The method performed consistently across various plastic types (PE, PP, PS, PET, PVC, PMMA) and particle sizes (125?µm–2?mm). Microfibers were also effectively removed. Aggregation succeeded in tap, river, lake, and wastewater, and was unaffected by pH, ionic strength, or turbidity. Mechanistic experiments confirmed that capillary bridge formation drove aggregation, requiring high interfacial tension (IFT =?50?mN/m), strong capillary force (Fc), and low capillary numbers (Ca =?0.01) to prevent bridge rupture. Favorable wetting of the plastic surface was also essential. No aggregation occurred in ethanol, and outcomes were inconsistent in ethylene glycol and air, underscoring the importance of interfacial interactions. Microscopy confirmed hexadecane bridges between irregularly shaped MPs. Together, these findings provide a high-resolution view of submicron plastic degradation and introduce a robust, field-relevant strategy for MP removal. Together, these findings bridge analytical insight and practical innovation, offering scalable tools to address plastic pollution across diverse and resource-constrained environments.
DOI: 10.15468/dl.x6evng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Saimiri boliviensis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022387-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16273947
title: Berlin EmoDB 2.0

description: A database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions,producing 10 German utterances (5 short and 5 longer sentences) which could be used in everyday communicationand are interpretable in all applied emotions.The recordings were taken in an anechoic chamber with high-quality recording equipment. In addition to the soundelectro-glottograms were recorded. The speech material comprises about 800 sentences (seven emotions * ten actors * ten sentences + some second versions).The complete database was evaluated in a perception test regarding the recognisability of emotions and theirnaturalness. 

This version 2.0 adds the electro-glottograms as well as the ambiguous samples to the database.

They are split into 4 speakers in test and 6 speakers in train.

The database meta information is in audformat.

The audio format is 16kHz wav format.

Here's a sample script in Python how to get train and test dataframes:

import audformat

!wget https://zenodo.org/record/7447302/files/emodb.zip

!unzip emodb.zip

db = audformat.Database.load('emodb')

df_test = db['emotion.categories.test.gold_standard'].get()

df_train = db['emotion.categories.train.gold_standard'].get()

print(f'samples in train: {df_train.shape[0]}, and test: {df_test.shape[0]}')
description: Database description

Funded by DFG (German Research Community) Grant no. SE 462/3-1
DOI: 10.5281/zenodo.16274624
title: Pollinator abundance shapes sexual selection in an angiosperm
DOI: 10.15468/dl.d5ma3z
title: Occurrence Download

description: A dataset containing 632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Saimiri boliviensis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 632 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022388-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.napmqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Saimiri boliviensis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022389-250717081556266/datasets/export for details.
DOI: 10.15468/dl.3qr3yw
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bugula neritina",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022392-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epcef4
title: Occurrence Download

description: A dataset containing 41208 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Lepidoptera collection (EL) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 41208 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022390-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hx8jg
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022393-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15988704
title: Climate change, weather, and geography shape seed mass variation and decline across western North America data
DOI: 10.5281/zenodo.13999248
title: FUTURE Science Frontiers

description: The Table S1-S6 are curated breakout notes from the NSF-funded FUTURE 2024 Workshop (March 26-28, 2024).  During the workshop, the first day of discussions focused on “Critical science questions that require seafloor sampling,” where participants: (I) defined the important sample types/sampling environment of their research; (II) assessed how well this seafloor environment is currently sampled; (III) reviewed how sample repositories/databases are currently used; and, (IV) evaluated justifications for acquiring new samples. Each breakout session culminated with a discussion of (V) what important science questions could be addressed soon (5–10 years), with existing or forthcoming assets and technologies, versus (VI) what might take longer (10+ years) and/or require the development of new assets or technologies. These motivating topics fed into the second day of discussions, which focused on “Aligning seafloor sampling technology with critical science questions.” Groups were guided by a common set of prompts, including what current resources were essential to the participants’ research, and what were the greatest challenges they faced in recovering the materials needed. The participants also discussed whether they could acquire the materials needed to address their science questions given current US assets (Figure 1 in FUTURE 2024 PI-team, 2024, AGU Advances 2024AV001560), how sample repositories and databases could be optimized for science needs, and the justification for acquiring or developing new technologies.
DOI: 10.5281/zenodo.13999249
title: FUTURE Science Frontiers

description: The Table S1-S6 are curated breakout notes from the NSF-funded FUTURE 2024 Workshop (March 26-28, 2024).  During the workshop, the first day of discussions focused on “Critical science questions that require seafloor sampling,” where participants: (I) defined the important sample types/sampling environment of their research; (II) assessed how well this seafloor environment is currently sampled; (III) reviewed how sample repositories/databases are currently used; and, (IV) evaluated justifications for acquiring new samples. Each breakout session culminated with a discussion of (V) what important science questions could be addressed soon (5–10 years), with existing or forthcoming assets and technologies, versus (VI) what might take longer (10+ years) and/or require the development of new assets or technologies. These motivating topics fed into the second day of discussions, which focused on “Aligning seafloor sampling technology with critical science questions.” Groups were guided by a common set of prompts, including what current resources were essential to the participants’ research, and what were the greatest challenges they faced in recovering the materials needed. The participants also discussed whether they could acquire the materials needed to address their science questions given current US assets (Figure 1 in FUTURE 2024 PI-team, 2024, AGU Advances 2024AV001560), how sample repositories and databases could be optimized for science needs, and the justification for acquiring or developing new technologies.
DOI: 10.15468/dl.86x7q9
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex divulsa virens, Carex divulsa virens, Carex echinata pseudodivulsa, Carex guestphalica, Carex guestphalica, Carex guestphalica, Carex lumnitzeri, Carex lumnitzeri, Carex lumnitzeri, Carex muricata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 249 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022394-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgq2p6
title: Occurrence Download

description: A dataset containing 4514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kalanchoe houghtonii, Bryophyllum houghtonii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 4514 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022396-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku7xe3
title: Occurrence Download

description: A dataset containing 54145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Althaea officinalis"
 ]
}

 The dataset includes 54145 records from 837 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022289-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cquckn
title: Occurrence Download

description: A dataset containing 136834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10 35,180 35,180 75,-10 75,-10 35))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetrao urogallus Linnaeus, 1758"
 ]
}

 The dataset includes 136834 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295672-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2j8yf
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Ulex europaeus L."
 ]
}

 The dataset includes 238 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308764-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzh7v2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uganda",
 "HasCoordinate is true",
 "TaxonKey is Loxodonta cyclotis (Matschie, 1900)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009708-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apk29p
title: Occurrence Download

description: A dataset containing 101594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuariiformes"
 ]
}

 The dataset includes 101594 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218883-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kckytq
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Actinodaphne areolata Blume"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283890-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyefnd
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drosera occidentalis Morr."
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009708-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdxgt5
title: Occurrence Download

description: A dataset containing 12530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Margaritifera margaritifera (Linnaeus, 1758)"
 ]
}

 The dataset includes 12530 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303373-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zx2hbh
title: Occurrence Download

description: A dataset containing 5974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1970-2000",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Sorghum arundinaceum (Desv.) Stapf",
 "TaxonKey is Eleusine africana Kenn.-O'Byrne",
 "TaxonKey is Echinochloa colona (L.) Link"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5974 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007861-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45by45
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Formicivora grantsaui Gonzaga, Carvalhaes & Buzzetti, 2007"
 ]
}

 The dataset includes 452 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051144-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddtube
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ardisia replicata E.Walker"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228301-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxncsi
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Erythrina edulis Triana"
 ]
}

 The dataset includes 55 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009709-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqzee7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salmincola lotae (Olsson, 1877))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051143-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3zpew
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia retusa var. cuscatlanica (Standl.) Rudd",
 "Year 1991-2021"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0316923-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.