cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/yok0sq
title: sea water Picoeukaryotic Community Raw sequence reads Raw sequence reads

description: Little is known regarding the diversity and distribution of picoeukaryotes in the east China Ocean, although these organisms are vital components of their environment. Here, we used High throughput sequencing technology to assess the seasonal 18S r RNA diversity of picoeukaryotes at six sampling sites in Carbon sink Time Series Station at Zhoushan
DOI: 10.17034/36c7c2d5-992e-4193-997c-2311edcde980
title: Dataset for 'Study of thickness distribution on a robotic rotational moulding system by experiment and simulation'

description: For 50 years, robotic systems have automated injection moulding. While rotational moulding is less advanced, recent innovations like ROBOMOULD® have improved its process control. This technology uses a 6-axis robot arm to manipulate the mould, enabling precise control over thickness distribution. 

This dataset is the measurement results from a full factorial study to study the three control parameters (rocking angle, rotations per rock, and robot feed rate or speed) of this robotic rotational moulding system. The moulded parts were produced using an industrial sized fuel tank mould on the robotic moulding system. This study compares experimental and simulated thickness distributions in robotic rotational moulding. A MATLAB-based finite element model predicts thickness distribution based on powder contact time. Results show that robot feeding rate and the interaction between rocking angle and rotations per movement significantly influence thickness distribution. The simplified simulation model accurately predicts trends at higher feeding rates.

These measurement results can be used to inform future experiments, calibrate simulation models, or validate existing simulations.

This is the updated version of the dataset, which is available via CC BY 4.0.
An earlier less complete version can be found at DOI: 10.17034/2942d476-c73b-4238-8b9b-7800ccbba979
DOI: 10.15468/axqk7g
title: Microbiome (Archaea, Bacteria and Eukaryota) of lake Fryxell and lake Bonney (McMurdo Dry Valleys, Antarctica)

description: Amplicon sequencing dataset (454 pyrosequencing) of Archaea (16S), Bacteria (16S) and Eukaryote (18S) in the water column of lake Fryxell and Lake Bonney, in the McMurdo Dry valleys (Antarctica).
DOI: 10.15468/dl.7bzh5d
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripleurospermum decipiens",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008669-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/73vrme
title: Specialists instead of generalists oxidize alkanes in anoxic marine hydrocarbon seep sediments

description: The anaerobic oxidation of non-methane hydrocarbons mediated by
 sulfate-reducing bacteria (SRB) is a major process of organic matter degradation at
 marine hydrocarbon seeps. Several SRB have been successfully cultured, however,
 knowledge about in situ active organisms is still very limited. Here, we identified
 alkane-degrading key players from two contrasting seeps at the Mediterranean Amon
 Mud Volcano (Amon MV) and Guaymas Basin in the Gulf of California using
 complementary stable-isotope probing (SIP) techniques. Anoxic sediments were
 incubated with 13C-labeled butane or dodecane under close to in situ conditions.
 DNA- and RNA-based SIP in combination with 454-pyrosequencing (PYRO-SIP) allowed the
 identification of four phylogenetically distinct deltaproteobacterial groups of
 alkane-oxidizing SRB within the family Desulfobacteraceae. We named the groups
 degrading short-chain alkanes ‘SCA-SRB1' and ‘SCA-SRB2' and those degrading
 long-chain alkanes ‘LCA-SRB1' and ‘LCA-SRB2'. CARD-FISH with newly developed
 specific probes revealed a high relative in situ abundance of SCA-SRB1 and SCA-SRB2
 with 2% of the total community, while groups LCA-SRB1 and LCA-SRB2 were below 1% of
 total cells. Protein-based SIP (Protein-SIP), which enables to trace stable isotopes
 from substrate to protein, confirmed alkane-degrading key players of the family
 Desulfobacteraceae. In addition, Protein-SIP indicated additional carbon sources for
 13C biosynthesis besides alkanes, and gave insights into possible metabolic
 pathways: (1-methylalkyl)succinylation as initial step of butane degradation and the
 oxidative Wood–Ljungdahl pathway as terminal point of alkane
 degradation.
DOI: 10.15468/orghv8
title: E1 Targeted Locus (Loci)

description: Reveal the diverse bacterial community in intertidal sediments of Fildes Peninsula
DOI: 10.15468/vckpsm
title: Localized impact of aquaculture effluent on Red Sea coral reef water nutrients and microorganisms

description: We examined the impact of an aquaculture effluent canal in Al Lith, Saudi Arabia on the nutrients and picoplankton community overlying coral reefs in the Red Sea. Across 24 sites representing 0 21 km from the effluent, we measured nutrient concentrations, quantified microbial cell abundances, and utilized high-throughput sequencing of bacterial and archaeal small subunit ribosomal RNA (SSU rRNA) to examine microbial community composition.
DOI: 10.15468/1woy9p
title: Microbial diversity in the Tongyeong-Geoje coastal area of Korea2

description: Investigate the potential interactions among the bacterial species, phytoplankton, and environmental parameters
DOI: 10.15468/dl.upbcv3
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Senegalia riparia"
 ]
}

 The dataset includes 45 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008670-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg7fgq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medicago falcata falcata"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008671-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/rwjy6d
title: LMO 2015, 2016 (0.2, 3-0.2, 3)

description: Bacterial (and some archaeal) V3V4 sequences collected at the Linnaeus Microbial Observatory (LMO) in the Baltic Sea 2015-16 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/g7darx
title: Data associated with 'A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns'

description: Data associated with 'A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns'.

This is the eDNA dataset associated with the paper linked to this DOI: https://doi.org/10.1098/rspb.2022.2129.
DOI: 10.15468/mvatzn
title: Diversity patterns of uncultured Haptophytes unravelled by pyrosequencing in Naples Bay

description: Haptophytes are a key phylum of marine protists, including ~300
 described morphospecies and 80 morphogenera. We used 454-pyrosequencing on large
 subunit ribosomal DNA (LSU rDNA) fragments to assess the diversity from size
 fractioned plankton samples collected in the Bay of Naples. One group-specific
 primer set targeting an overlapping region of the LSU rDNA D1/D2 region was used to
 amplify Haptophyte sequences from nucleic acid extracts (total DNA or RNA) of two
 size fractions (0.8-3 or 3-20 µm) and two sampling depths (subsurface, at 1m, or
 deep-chlorophyll-maximum (DCM) at 23m).
DOI: 10.15468/dl.ckg7gn
title: Occurrence Download

description: A dataset containing 4041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia nervosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4041 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008672-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/gktky3
title: Prokaryotic microbial communities structure in the headwater watchment of Dongjiang River in the south of China

description: Prokaryotic microbial communities structure in the headwater watchment of Dongjiang River in the south of China
DOI: 10.15468/o2sinv
title: Meiobenthos nSSU metagenetic meiobenthic data

description: nSSU meiobenthic diversity - nSSU meiobenthic samples from UK, EU and Gambia from 454 GS FLX.
DOI: 10.15468/fbdsva
title: Microbial diversity (Bacteria and Archaea 16S rRNA gene) in geothermal sites of Deception Island volcano, Antarctica

description: Amplicon sequencing dataset (Illumina MiSeq) of Bacterial and Archaea microbial diversity (based on the 16S ssu rRNA gene) in surface sediment samples, taken along a temperature gradient (three points, each with three replicates) on two different geothermal active sites (+-10km apart) on Deception Island, Antarctica.
DOI: 10.15468/dl.7trv3s
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbesina alternifolia",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008673-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hevrr6
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbesina alternifolia",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008674-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny8c7q
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbesina alternifolia",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008675-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17184143
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.15468/crak2w
title: Microbial community of Red Sea (16S amplicon) Targeted Locus (Loci)

description: 16S pyro-sequencing of samples from multiple places in Red Sea
DOI: 10.15468/dl.m6da9g
title: Occurrence Download

description: A dataset containing 2671545 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '50c9509d-22c7-4a22-a47d-8c48425ef4a7'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 2671545 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008635-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vrxhxe
title: 16S: A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea

description: A dataset covering spatiotemporal variation in prokaryotic and eukaryotic microbial communities and physicochemical parameters of the Baltic Sea. Between January 2019 and February 2020, 281 transect-time course samples and 65 samples for protocol testing were collected from 19 stations in the Baltic Sea, Kattegat and Skagerrak. We analysed the samples with 18S ribosomal RNA (rRNA) gene and 16S rRNA gene metabarcoding, to capture the eukaryotic and prokaryotic diversity, respectively. 

Note that this resource was previously published as 'Metadata-only'.

This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/).
DOI: 10.15468/njn2wn
title: Eukaryotes detected in marine water (collected July 2023) from the North Atlantic by the MSC Poesia cruise ship; inferred from 18S DNA metabarcoding data.

description: The data presented here was collected under the 2023 phase of the "Biodiversity Sampling from Cruise Liners using eDNA" project that was initiated to contribute data to the eBioAtlas program. These data are from the MSC Cruises’ vessel, the Poesia, and their collection is a groundbreaking project that aims to use the best available innovative technology to fill gaps in marine biodiversity data and to make these data available to conservation decision-makers. It is a collaborative effort between NatureMetrics, MSC Cruises, and the MSC Foundation.

The data is being made available by the MSC Foundation and MSC Cruises to be used by the eBioAtlas program. eBioAtlas is a collaboration between NatureMetrics and IUCN to use the power of eDNA to fill global biodiversity knowledge gaps and deliver impact in conservation. The goal is to establish a cohesive biodiversity data layer, facilitating informed decision-making for the betterment of both humanity and nature. 
[This dataset was processed using the GBIF eDNA converter tool.]
DOI: 10.15468/uudcms
title: 16S Amplicon Data from an Antarctic Cold Seep

description: Benthic fauna from a high Antarctic cold seep
DOI: 10.15468/cewp3n
title: Who eats the tough stuff DNA stable isotope probing (SIP) of bacteria and fungi degrading 13C-labelled lignin and cellulose in forest soils

description: Decomposition and storage of plant-derived carbon has become a hot topic in environmental research. Since carbon dioxide has been detected as one of the most relevant drivers of global climate change, its potential storage and fate in soils has become key for predicting climate scenarios. Unfortunately, studies with a focus on the decomposition and driving factors are still lacking for precise modelling of the fluxes in a changing world. The main actors of carbon degradation in soils have not been fully identified, especially in regard to bacteria very little is known about their contribution to degradation of persistent carbon components. In the present study, the active microbial community involved in degrading 13C-labelled cellulose and lignin in forest soils was identified using a DNA stable isotopic probing (SIP) approach. Microbial activity assessed by measurements of 13CO2 increased with labelled substrate addition, during a 28 days incubation period. Within the vast microbial communities, bacterial and fungal members specialized in degrading cellulose (e.g. Devosia (Rhizobiales), Sebacinales), lignin (e.g. Sphingopyxis (Sphingomonadales), Paucibacter (Burkholderiales), Xylariales, Auriculariales, Helotiales), and both substrates (e.g. Caulobacter (Caulobacterales), Schizoporaceae, Orbiliales) have been identified. Over the course of the experiment, a successional shift from early degrading colonizers (e.g. Brevundimonas (Caulobacterales), Trichosporonales, Hymenochaetales, Gomphales) to late stage beneficiary microorganisms (e.g. Sphingopyxis (Sphingomonadales), Devosia (Rhizobiales), Orbiliales) became evident. These results provide novel insights into the degradation processes of woody plant debris in soil, disentangling the active microbial degraders from the beneficiaries, within the vast complexity of the soil microbiome.
DOI: 10.18150/74trfd
title: Development of low-emission photocatalytic cement composites with co-ground TiO2–fly ash and TiO2–calcium carbonate systems

description: Dataset containing raw data obtained through funding provided by the Ministry of Science and Higher Education for Poznan University of Technology under projects 0412/SIGR/6579 and 0412/SBAD/0091, focused on the development of low-emission photocatalytic cement composites incorporating co-milled TiO2–fly ash and TiO2–calcium carbonate systems.The dataset includes FTIR results (Vertex 70, Bruker) for powder materials, including titanium(IV) oxide in anatase form and P25, calcium carbonate, fly ash, Portland cement, blast furnace slag, and co-milled systems. It also contains particle size distribution data obtained using a Zetasizer Nano ZS (Malvern Instruments Ltd.) and XRF analyses (Hitachi HT7700) of the studied powders. Furthermore, the dataset provides information on the heat of hydration of cement composites determined using the semi-adiabatic method (TESTING Bluhm & Feuerherdt GmbH), as well as flexural and compressive strength tests (Matest S.p.A., Treviolo BG) performed on 40×40×160 mm cement composite samples after 3, 28, and 150 days of curing. In addition, SEM microstructural images (TESCAN VEGA3) are included.Abbreviations and notations used are as follows: AN – TiO2 in anatase form, P25 – TiO2 (P25), CEM – Portland cement, Pop or FA – fly ash, CaCO3 or CC – calcium carbonate, Ż or SL – blast furnace slag. For the cement composites, Series 1 includes Portland cement and fly ash, Series 2 includes Portland cement, fly ash, and slag, while Series 3 includes Portland cement, blast furnace slag, and calcium carbonate. In systems marked MAN or MP25, fly ash (Series 1 and 2) or calcium carbonate (Series 3) was pre-milled with the respective form of TiO2 (AN or P25)..dpt files can be opened with any text editor (e.g. Notepad)
DOI: 10.15468/g37h8m
title: Microbial consortium enriched at the cathode of a solar microbial fuel cell

description: The objective of this project is to study a microbial biocathode consortium enriched at the U.S. Naval Research Laboratory's Center for Bio/Molecular Science & Engineering. The initial inoculum for the solar microbial fuel cell was seawater collected near Rutgers, NJ, and the community has subsequently been maintained electroautotrophically via serial transfers on cathodes poised at 310 mV vs. SHE. This microbial consortium contains autotrophic organisms which can use a cathode as an electron donor and O2 as an electron acceptor, and has electrochemical properties potentially useful in bioenergy applications including microbial electrosynthesis and microbial fuel cell technology. System biology approaches will be used to identify functional genes that are relevant for bioenergy production, such as fixing CO2 as sole carbon source, electrosynthesis, O2 tolerance, etc. Several heterotrophic constituents have been isolated in pure culture, and have been sequenced by either Illumina or PacBio technologies. Furthermore, closed genomes and methylation data were obtained from PacBio sequencing of metagenomic DNA. Metagenomic libraries generated from eight biological replicates of an enriched biocathode microbial community were sequenced at 2x100 base pairs (bp) (paired-end reads) using an Illumina HiSeq 2000. The reads were assembled using either IDBAUD or Ray. The ideal k-mer length and node coverage were selected based on which gave results most similar to de novo sequencing of isolated bacterial cultures from the enriched community (Marinobacter sp. strain CP1 and Labrenzia sp. strain CP4). Metatranscriptomic libraries were generated from four reactors inoculated with the same inoculum were grown at a set potential of 310 mV SHE until current density stabilized, cyclic voltammetry was recorded, and then two of them were set at a more positive potential (470 mV) and two remained at 310 mV for 48 hours before samples were harvested for RNA extraction. This experiment was repeated with four more reactors inoculated with a new cell suspension from the same source electrode for a total of four biological replicates at each potential.
DOI: 10.15468/dl.6mnxkg
title: Occurrence Download

description: A dataset containing 676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia racemosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 676 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008677-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcxm9c
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008678-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.