cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q5ygp7
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meniocus aureus"
 ]
}

 The dataset includes 94 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017421-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ss/odszpv
title: Landcover and fire spatial data for City of Cape Town, Survey on residential decision making under risk in Imizamo Yethu and an agent based model for the understanding of residential choice under fire risk.

description: This datafile includes spatial data, survey data and an ABM model used and generated in a Ph research project. The research aimed to investigate the impact of wildfire management strategies on the outcome of informal settlements and wildfire at a fire-dependent wildland urban interface. 
Datasets were collected to firstly frame the spatial extent of landcover change and fire patterns change from 1990-2019. Following this a survey was done to investigate the decision-making of residents under fire risk to stay in the informal settlement. This was followed up with the development of an agent based model that used the data collected to investigate the impact of varying wildfire management strategies on settlement patterns and wildland health outcomes.
DOI: 10.15468/dl.kcu5j3
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichilia lovettii, Trichilia sambiranensis, Trichilia zewaldae)",
 "HasCoordinate is false"
 ]
}

 The dataset includes 53 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017420-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdxznb
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 (Empidonax flaviventris)",
 "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/0017418-250711103210423/datasets/export for details.
DOI: 10.15468/dl.7wm8fv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017422-250711103210423/datasets/export for details.
DOI: 10.15468/dl.per2se
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is Kazakhstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017423-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15917361
title: Highly electron-deficient 3,6-diaza-9-borafluorene scaffolds for the construction of luminescent chelate complexes

description: The synthesis and characterization of two fluorinated 2,6-diaza-9-hydroxy-9-borafluorenes oxonium acids featuring improved hydrolytic stability and strong electron-deficient character of diazaborafluorene core is reported. These boracycles served as precursors of fluorescent spiro-type complexes with (O,N)-chelating ligands which revealed specific properties such as delayed emission, white light emission in the solid state and photocatalytic performance in singlet oxygen-mediated oxidation reactions.
DOI: 10.5066/p1jpnhxg
title: Concentration of PFOS (perfluorooctanesulfonic acid) in water and freshwater diatoms (Mayamaea atomus) in a bioaccumulation study conducted at U.S. Geological Survey, Columbia Environmental Research Center in July 2021

description: Two laboratory experiments were conducted to understand PFOS (perfluorooctanesulfonic acid) bioaccumulation in freshwater benthic diatoms (Mayamaea atomus). The first experiment tested bioconcentration at multiple PFOS concentrations (0, 0.01, 0.1, 1, 10, 100 micrograms per liter) after 7 days of exposure. The second explored uptake and depuration of 0.1 micrograms per liter PFOS at multiple time points over 7 days. Both data sets include PFOS concentrations in water and diatoms as well as diatom mass.
DOI: 10.5281/zenodo.15917637
title: Iron-stimulated pyrite formation enhances mangrove alkalinity outwelling and carbon sequestration for climate mitigation: Dataset

description: The dataset consists of a single Excel file titled "Global Compilation for Mangrove Alkalinity Production Rate."

This file includes six separate sheets: Denitrification, Mn Reduction, Fe Reduction, Sulfate Reduction Producing AVS, Pyrite Formation, and PEX-Derived TA Flux.

These sheets compile data on alkalinity production rates from various biogeochemical processes, as well as porewater exchange-derived alkalinity fluxes, based on previously published studies.
DOI: 10.5281/zenodo.15917636
title: Iron-stimulated pyrite formation enhances mangrove alkalinity outwelling and carbon sequestration for climate mitigation: Dataset

description: The dataset consists of a single Excel file titled "Global Compilation for Mangrove Alkalinity Production Rate."

This file includes six separate sheets: Denitrification, Mn Reduction, Fe Reduction, Sulfate Reduction Producing AVS, Pyrite Formation, and PEX-Derived TA Flux.

These sheets compile data on alkalinity production rates from various biogeochemical processes, as well as porewater exchange-derived alkalinity fluxes, based on previously published studies.
DOI: 10.15156/bio/sh1380537.10fu
title: SH1380537.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380539.10fu
title: SH1380539.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380541.10fu
title: SH1380541.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380542.10fu
title: SH1380542.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17026/dans-x5x-va5a
title: Breda Baronesgarage, Inventariserend veldonderzoek door middel van proefsleuven
title: Erfgoedrapport Breda 33

description: &lt;p&gt;Tijdens het uitgevoerde archeologische proefsleuvenonderzoek zijn geen sporen gevonden van de verwachte stadsmuur. Wanneer de opgravingsplattegronden van de in de nabijheid uitgevoerde archeologische onderzoeken worden geprojecteerd op de huidige topografie is te zien dat de stadsmuur waarschijnlijk verder uit de rooilijn van de huidige bebouwing heeft gelegen, ongeveer 1 a 2 meter verder dan de westelijke rand van de werkput. De gelaagdheid van de bodem in het onverstoorde deel van de werkput duidt waarschijnlijk op de opvulling van de helling van de Mark waarop afwisselend veen is gegroeid en zand is afgezet. &lt;br&gt;Het archeologisch onderzoek kon niet binnen de gehele werkput plaatsvinden omdat kabels en leidingen in de weg zaten. Wel is door middel van de boringen vastgesteld dat de stadsmuur niet binnen het plangebied ligt. &lt;br&gt;Omdat het archeologisch onderzoek door de aanwezigheid van kabels en leidingen niet volledig kon worden uitgevoerd, is een archeologische begeleiding tijdens de graafwerkzaamheden voor de aanleg van het liftperron wenselijk. Eventuele archeologische sporen kunnen dan alsnog worden gedocumenteerd.&lt;/p&gt;
description: Toevoeging van geconverteerde GIS-data uit het originele ArcheoLink APR-bestand.
DOI: 10.15156/bio/sh1380546.10fu
title: SH1380546.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380555.10fu
title: SH1380555.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380562.10fu
title: SH1380562.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380563.10fu
title: SH1380563.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380565.10fu
title: SH1380565.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.hwv6h6
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.83732 -3.79757,-59.32256 -3.79757,-59.32256 1.27104,-68.83732 1.27104,-68.83732 -3.79757))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is one of (cas, instituto nacional de pesquisas da amazônia (inpa), uel)",
 "TaxonKey is Crenicichla notophthalmus Regan, 1913"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047525-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prraen
title: Occurrence Download

description: A dataset containing 79683421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.3457 12.03932,-81.82617 11.52309,-83.8916 31.1282,-100.81055 31.95216,-117.68555 32.39852,-114.3457 12.03932))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79683421 records from 2521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054992-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.caq8ry
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hubrechtella sinimarina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017409-251025141854904/datasets/export for details.
DOI: 10.15468/dl.k9qcwz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Trifolium lupinaster",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017411-251025141854904/datasets/export for details.
DOI: 10.15468/dl.33vyxj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Astragalus laxmannii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017412-251025141854904/datasets/export for details.
DOI: 10.15468/dl.93zsy9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Delphinium grandiflorum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017410-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17123382
title: Earthquake catalogs for: Improving microearthquake detection in the Val d'Agri region (Southern Italy) with deep learning

description: This repository contains two earthquake catalogs (dubbed PRN and QS) obtained from the application of two deep-learning-based detection workflows to continuous seismic data recorded in the Val d’Agri region (Southern Italy). These catalogs have been generated using the PhaseNet neural network for seismic phase picking (Zhu & Beroza, 2019). The workflows used to generate the catalogs are described in detail in: Caredda et al. (2025). These datasets offer a more comprehensive representation of local seismicity compared to manually generated, STA/LTA-based catalogs (available in the open periodic monitoring reports accessible at: https://cms.ingv.it/sperimentazioni/val-d-agri [last accessed on 18/09/2025]).

The datasets include event origin times, locations, magnitudes, location uncertainties, and phase arrival times with corresponding PhaseNet “pick probabilities” (for the PRN catalog), providing an enriched representation of local seismicity compared to conventional STA/LTA-based catalogs.

These catalogs can serve as valuable resources for further research on seismicity, induced processes, Earth structure, and seismic hazard assessment in the Val d’Agri region.

References:

Caredda, E., Isken, M. P., Cesca, S., Errico, M., Zerbinato, G., & Morelli, A. (2025). Improving microearthquake detection in the Val d’Agri region (Southern Italy) with deep learning. Seismica, 4(2). 

Zhu, W., and Beroza, G. C. (2018). PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method. Geophysical Journal International, 216(1), 261–273. https://doi.org/10.1093/gji/ggy423