cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17182897
title: Scalable Fabrication of Electrochemical Sensors via Inkjet Printing of Functionalized Graphene for Pesticide Detection

description: Nanomaterials are widely employed to enhance the performance of electrochemical sensors by modifying electrode surfaces. Traditionally, screen-printed electrodes are manually coated with nanomaterial dispersions using the drop-casting method, which suffers from poor reproducibility and limited reusability due to inconsistencies in deposition. In this study, we introduce a novel electrochemical sensor based on nitrogen-doped graphene acid (NGA), deposited via inkjet printing. This approach provides uniform, reproducible, and mechanically stable NGA coatings with significantly reduced material consumption (~3 vs. ~15 µg) compared to drop-casting. The NGA-modified electrodes exhibit enhanced electrochemical performance, as confirmed by a four-fold decrease in charge transfer resistance and a 2.5-fold increase in current response. The sensor reliably detects imidacloprid, a common neonicotinoid pesticide, with excellent selectivity and long-term stability exceeding 110 days. Inkjet printing enables precise material placement and layer control, ensuring strong adhesion and consistent performance even under mechanical stress and in complex matrices like tap water. This work demonstrates the potential of inkjet printing as a scalable and cost-effective strategy for producing high-performance electrochemical sensors.
DOI: 10.5281/zenodo.17182898
title: Scalable Fabrication of Electrochemical Sensors via Inkjet Printing of Functionalized Graphene for Pesticide Detection

description: Nanomaterials are widely employed to enhance the performance of electrochemical sensors by modifying electrode surfaces. Traditionally, screen-printed electrodes are manually coated with nanomaterial dispersions using the drop-casting method, which suffers from poor reproducibility and limited reusability due to inconsistencies in deposition. In this study, we introduce a novel electrochemical sensor based on nitrogen-doped graphene acid (NGA), deposited via inkjet printing. This approach provides uniform, reproducible, and mechanically stable NGA coatings with significantly reduced material consumption (~3 vs. ~15 µg) compared to drop-casting. The NGA-modified electrodes exhibit enhanced electrochemical performance, as confirmed by a four-fold decrease in charge transfer resistance and a 2.5-fold increase in current response. The sensor reliably detects imidacloprid, a common neonicotinoid pesticide, with excellent selectivity and long-term stability exceeding 110 days. Inkjet printing enables precise material placement and layer control, ensuring strong adhesion and consistent performance even under mechanical stress and in complex matrices like tap water. This work demonstrates the potential of inkjet printing as a scalable and cost-effective strategy for producing high-performance electrochemical sensors.
DOI: 10.15468/aldgnn
title: Mariana and Kermadec Trench sediment 16S rRNA gene sequencing

description: This project studies the microbial communities within the Mariana and Kermadec trenches as a function of trench, sediment, and water depth using 16S rRNA gene sequencing.
DOI: 10.15468/dl.jypzfj
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flemingia strobilifera",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1925 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008315-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qay4y
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhagadiolus stellatus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008316-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puvqby
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhagadiolus stellatus",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008317-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/gkxai4
title: marine sediment metagenome Metagenome

description: China sediments from the northern slope of the South China Sea archaeal 16S rRNA gene groups, metagenomic data, deep-sea sediments
DOI: 10.15468/pp9jea
title: 3Soil16S

description: 3Soil16S
DOI: 10.15468/dl.yv8jxh
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008318-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/xqzc8b
title: Microorganisms (eukaryote and bacteria) in Antarctic cryoconite holes.

description: Amplicon sequencing dataset (Illumina MiSeq) of Eukaryotes (18S ssu rRNA) and Bacterial (16S ssu rRNA) microbes in Antarctic cryoconite holes.
DOI: 10.15468/gjhaob
title: Anammox bacteria in sediment cores of Daya Bay, China

description: 16S rRNA gene of anammox bacteria
DOI: 10.15468/2maes6
title: Seawater Metagenome

description: Microbial community in seawater sample
DOI: 10.15468/4fm8m9
title: LMO 16S 2011, 2012, 2013 (0.2, 3-0.2, 3)

description: Bacterial (and some archaeal) V3V4 sequences collected at the Linnaeus Microbial Observatory (LMO) in the Baltic Sea 2011-13 using three different filter setups: directly on 0.2 um, on 0.2 um after prefiltering with a 3 um filter and directly on a 3 um filter.
DOI: 10.15468/1gry4a
title: illumina high-throughput sequencing of AOB community

description: Microbial ecology of AOB community
DOI: 10.15468/dl.4phmcw
title: Occurrence Download

description: A dataset containing 117880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1962"
 ]
}

 The dataset includes 117880 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008262-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/1mvvmb
title: Coastal Sediment Bacterial Community Alterations in Association with Sudden Vegetation Dieback

description: This study analyses the alterations in the sediment microbial communities in a coastal wetland in response to the die off of the dominant plant, Spartina alterniflora
DOI: 10.15468/dl.f7saaf
title: Occurrence Download

description: A dataset containing 970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maesopsis eminii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 970 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008319-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vpv7ad
title: Helgoland 2019

description: Environmental DNA and zooplankton samples taken at Helgoland Roads in June 2019
DOI: 10.15468/nesbvx
title: BIOWIDE eDNA Fungi dataset

description: The Biowide project (2014-2018) was a project aiming at collecting biodiversity data from 130 terrestrial sampling sites across Denmark. Data was collected with both classical means (observation and trapping) and by eDNA metabarcoding (sequencing of amplified marker genes. Data was also collected on environmental variables. Biowide (Biodiversity in Width and Depth) took place in collaboration between Århus Universiity (main project holder) and the two major Danish natural history museums and the University of Copenhagen, and was supported by the Villum Foundation. During the first two years of the project, a host of professionals and volunteers collected data on the environment from the 130 sample plots – on everything from soil moisture, temperature, nutrients, plant biomass, trees, dead wood, stone and ant hills, expanses of water and flowers. The major effort has been collecting information on plants, mosses, lichens, invertebrates and fungi that live in the surfaces. With the help of volunteers, it was attempted to map as much as possible. As part of the Biowide project bulk soil samples were collected from each sampling site for eDNA metabarcoding (sequencing of amplified marker genes) with various genetic markers, for fungi, plants, insects, nematodes, etc.
Sampling was stratified across the three gradients expected to have most importance for terrestrial biodiversity: fertility, humidity and disturbance. The plots represent one of the widest ecological samplings for eDNA to this date, as landscape types as diverse as sand dunes, meadows, bogs, agricultural land and also forest plantations and Danish natural forest are included.
The project and methods are described in Brunbjerg et al. (2017)
BIOWIDE eDNA Fungi dataset.
As part of the Biowide project soil was collected for eDNA metabarcoding (sequencing of amplified marker genes) with various genetic markers, for fungi, plants, insects, nematodes, etc. This dataset represents data from the metabarcoding targeting soil fungi with primers (sub-)specific for fungi (gITS7 and ITS4), amplifying the ITS2 region.
DOI: 10.15468/dl.a4pqmk
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008320-250920141307145/datasets/export for details.
DOI: 10.15468/dl.cpp79d
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhagadiolus stellatus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008321-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/y9ey1l
title: Active picoeukaryotes in the Eastern Mediterranean Sea

description: Response of active picoeukaryotes to the deposition of Saharan dust and European aerosols in the Eastern Mediterranean Sea revealed by 454 pyrosequencing
DOI: 10.15468/aulkwf
title: eDNA_Subseafloor

description: PMA-DNA study of subseafloor sediment
DOI: 10.15468/dl.bqssmq
title: Occurrence Download

description: A dataset containing 12810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flueggea virosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12810 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008322-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13182416
title: Binary black-hole simulation SXS:BBH:2491

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182417
title: Binary black-hole simulation SXS:BBH:2491

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.yj9w3m
title: Occurrence Download

description: A dataset containing 702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Abronia Gray, 1838"
 ]
}

 The dataset includes 702 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045978-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13182420
title: Binary black-hole simulation SXS:BBH:2494

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182421
title: Binary black-hole simulation SXS:BBH:2494

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182422
title: Binary black-hole simulation SXS:BBH:2484

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182423
title: Binary black-hole simulation SXS:BBH:2484

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.7pjmgg
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herpetology Collection NRM",
 "TaxonKey is Atelopus famelicus Rivero & Morales, 1995"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045979-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2f26q
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrenoididae"
 ]
}

 The dataset includes 350 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045980-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mz99ke
title: Occurrence Download

description: A dataset containing 108385599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, Costa Rica, Colombia, Ecuador, Brazil, Guatemala, Panama, Peru)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Evaluación del estado de conservación de las poblaciones de los primates silvestres (Ateles y Alouatta) en la región noreste del estado de Oaxaca y la península de Yucatán, mediante información sobre su distribución geográfica, abundancia y demografía, NMNH Extant Specimen Records (USNM, US), EOD – eBird Observation Dataset)"
 ]
}

 The dataset includes 108385599 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045977-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13182426
title: Binary black-hole simulation SXS:BBH:1144

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182427
title: Binary black-hole simulation SXS:BBH:1144

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.ts63s9
title: Occurrence Download

description: A dataset containing 4327727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "Country is one of (Costa Rica, Honduras, Guatemala, Colombia, Panama, Ecuador, Mexico, Nicaragua)",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 4327727 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045981-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdgsz4
title: Occurrence Download

description: A dataset containing 3141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Costa Rica, Honduras, Guatemala, Colombia, Panama, Ecuador, Mexico, Nicaragua, Belize)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Bothriechis Peters, 1859"
 ]
}

 The dataset includes 3141 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045984-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13182437
title: Binary black-hole simulation SXS:BBH:0309

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182438
title: Binary black-hole simulation SXS:BBH:0309

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182434
title: Binary black-hole simulation SXS:BBH:0311

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182435
title: Binary black-hole simulation SXS:BBH:0311

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182439
title: Binary black-hole simulation SXS:BBH:0305

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182440
title: Binary black-hole simulation SXS:BBH:0305

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182428
title: Binary black-hole simulation SXS:BBH:1141

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182429
title: Binary black-hole simulation SXS:BBH:1141

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182443
title: Binary black-hole simulation SXS:BBH:0316

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182444
title: Binary black-hole simulation SXS:BBH:0316

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182447
title: Binary black-hole simulation SXS:BBH:0306

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182448
title: Binary black-hole simulation SXS:BBH:0306

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.12172321
title: Sample tilting for speckle suppression through angular compounding: Dataset

description: This data file contains an angular series of 61 OCT intensity tomograms covering a range of 60 degrees (from -30° to +30°) with a step angle of 1° of chicken muscle tissue to generate angulary compounded speckled suppressed tomogram using the physics-informed affine mapping described in "Sample tilting for speckle suppression through angular compounding" by Chintada et al. (2024). The source code for the affine mapping is available on GitHub at https://github.com/bhaskarachintada/OCT_Angular_Compounding.
DOI: 10.5281/zenodo.12172322
title: Sample tilting for speckle suppression through angular compounding: Dataset

description: This data file contains an angular series of 61 OCT intensity tomograms covering a range of 60 degrees (from -30° to +30°) with a step angle of 1° of chicken muscle tissue to generate angulary compounded speckled suppressed tomogram using the physics-informed affine mapping described in "Sample tilting for speckle suppression through angular compounding" by Chintada et al. (2024). The source code for the affine mapping is available on GitHub at https://github.com/bhaskarachintada/OCT_Angular_Compounding.
DOI: 10.5281/zenodo.13182432
title: Binary black-hole simulation SXS:BBH:1145

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182433
title: Binary black-hole simulation SXS:BBH:1145

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182451
title: Binary black-hole simulation SXS:BBH:0310

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182452
title: Binary black-hole simulation SXS:BBH:0310

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182453
title: Binary black-hole simulation SXS:BBH:0313

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182454
title: Binary black-hole simulation SXS:BBH:0313

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182455
title: Binary black-hole simulation SXS:BBH:0312

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182456
title: Binary black-hole simulation SXS:BBH:0312

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182459
title: Binary black-hole simulation SXS:BBH:1143

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182460
title: Binary black-hole simulation SXS:BBH:1143

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182463
title: Binary black-hole simulation SXS:BBH:1142

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13182464
title: Binary black-hole simulation SXS:BBH:1142

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.tw594y
title: Occurrence Download

description: A dataset containing 3794924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arcidae, Cardiidae, Corbulidae, Cyrenidae, Cyrenoididae, Donacidae, Dreissenidae, Etheriidae, Glycymerididae, Hyriidae, Iridinidae, Lasaeidae, Lyonsiidae, Mactridae, Margaritiferidae, Mycetopodidae, Mytilidae, Pharidae, Pholadidae, Solenidae, Sphaeriidae, Teredinidae, Trapezidae, Unionidae, Acochlidiidae, Acroloxidae, Amnicolidae, Amphimelaniidae, Ampullariidae, Ampullinidae, Assimineidae, Baicaliidae, Bithyniidae, Bulinidae, Burnupiidae, Bythinellidae, Chilinidae, Clenchiellidae, Cochliopidae, Drilliidae, Emmericiidae, Erhaiidae, Fissurellidae, Fontigentidae, Glacidorbidae, Hemisinidae, Hydrobiidae, Iravadiidae, Latiidae, Lithoglyphidae, Litthabitellidae, Littorinidae, Lymnaeidae, Melanopsidae, Moitessieriidae, Nassariidae, Neritidae, Neritiliidae, Otinidae, Pachychilidae, Paludomidae, Physidae, Planorbidae, Pleuroceridae, Pomatiopsidae, Raphitomidae, Rissoidae, Semisulcospiridae, Stenothyridae, Tantulidae, Tateidae, Thiaridae, Tomichiidae, Tornidae, Trochidae, Truncatellidae, Valvatidae, Viviparidae, Zemelanopsidae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3794924 records from 2713 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045983-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.